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Visual MCP

Сервер Model Context Protocol, который предоставляет LLM структурированный визуальный слой: он описывает что существует и получает чистую, точную SVG-диаграмму — вместо ASCII-арта.


What is Visual MCP?

Попросите любую LLM "нарисовать архитектуру" и вы получите это:

+----------+      +---------+      +------------+
|  React   |----->| NestJS  |----->| PostgreSQL |
+----------+      +---------+      +------------+
                       |
                       +-----> Redis?

Символы рисования рамок — плохой носитель для пространственной информации. Выравнивание ломается, стрелки не доходят, ничего нельзя отредактировать впоследствии, и модель тратит рассуждения на подсчёт символов.

Очевидное исправление — "пусть модель пишет SVG" — ещё хуже. Тогда ей приходится вычислять viewBox, данные путей, полигоны наконечников стрелок, базовые линии текста и пересечения границ, всё вручную, без обратной связи, и всё заново с нуля, как только пользователь просит одно небольшое изменение.

Visual MCP убирает геометрию из задачи модели. Модель работает с графом сцены:

{
  "title": "Service architecture",
  "elements": [
    { "id": "frontend", "type": "node",     "label": "React" },
    { "id": "backend",  "type": "node",     "label": "NestJS" },
    { "id": "db",       "type": "database", "label": "PostgreSQL" },
    { "id": "cache",    "type": "database", "label": "Redis" },

    { "id": "c1", "type": "connection", "from": "frontend", "to": "backend" },
    { "id": "c2", "type": "connection", "from": "backend",  "to": "db" },
    { "id": "c3", "type": "connection", "from": "backend",  "to": "cache" }
  ]
}

Обратите внимание, чего нет: нет координат, нет размеров, нет конечных точек линий, нет наконечников стрелок, нет SVG. Сервер вычисляет всё это — размеры узлов по меткам, позиции по графу соединений, рёбра, которые встречаются с границами, маркеры наконечников стрелок, перенос текста и viewBox, который не может обрезать.

И поскольку сцена — это граф со стабильными идентификаторами, следующий виток разговора — это правка в одну строку, а не перерисовка:

"Помести Redis над бэкендом, а PostgreSQL под ним." → update_element × 2, всё остальное нетронуто.

"Теперь помести всю инфраструктуру в коробку под названием AWS." → group_elements, и ничего не двигается.


Related MCP server: Mermaid MCP Server

Architecture

ChatGPT
   │  tool call: render_diagram / update_element / …
   ▼
MCP server            src/mcp/         (transport, tools, error shaping)
   │
   ▼
Scene graph           src/scene/       (Zod schemas, validation, store, mutations)
   │
   ├─▶ layout         src/layout/      (sizes and positions for elements with no coordinates)
   ├─▶ semantic       src/semantic/    (node/connection/axis/… ▸ primitives)
   │
   ▼
SvgNode tree          src/renderer/    (closed, allow-listed representation of an SVG document)
   │
   ├─▶ toSvgString()  ─────────────────▶  SVG returned by the MCP tools
   └─▶ <SceneRenderer> ────────────────▶  React, for the interactive UI

Five ideas hold this together

1. Граф сцены — это артефакт, SVG — только формат вывода. Всё, что отправляет модель, проверяется и сохраняется как Scene. Рендеринг — это чистая функция этой сцены, поэтому одна и та же диаграмма может быть позже перерендерена в другой теме или другим бэкендом без участия модели.

2. Семантические элементы компилируются в примитивы. database становится путём, эллипсом и двумя текстовыми блоками. connection становится путём с маркером. Рендерер видит только десять примитивов — это сохраняет его компактным и означает, что добавление neuron, decisionTree или functionPlot позже — это один файл расширения в src/semantic/, без изменений в объединении схемы, механизме компоновки или рендерере.

3. Один конвейер геометрии, два бэкенда. Реальный вывод рендерера — это дерево SvgNode, а не строка. serialize() превращает его в разметку для инструментов MCP; <SceneRenderer> отображает его в элементы React для UI. Нет второй реализации, которая могла бы разойтись, и нет dangerouslySetInnerHTML нигде в проекте.

4. Ошибки написаны для модели, а не для файла журнала.

{
  "success": false,
  "error": {
    "code": "ELEMENT_NOT_FOUND",
    "message": "Connection 'c1' points to 'router-2' (to), which does not exist in the scene.",
    "path": "c1.to",
    "hint": "Existing elements you can connect: pc, switch, router-1, server."
  }
}

Код для ветвления, предложение, которое называет проблему, и подсказка, содержащая ответ. Никогда не стек вызовов.

5. Каждая мутация атомарна. Отклонённое редактирование оставляет сохранённую сцену побайтово такой, какой она была. Без этого один неудачный вызов испортил бы диаграмму на весь остаток разговора.

Deviations from the originally sketched layout

  • src/layout/ — это собственный модуль, отдельный от src/semantic/. Позиционирование и расширение смысла в форму — разные задачи, и разделение позволяет заменить Dagre или ELK позже изменением одного файла (src/layout/flow.ts) — его интерфейс FlowItem in / centres out намеренно имеет форму, которую предоставляют эти библиотеки.

  • SvgNode находится между рендерером и его выводом (идея 3 выше), что позволяет React-представлению существовать без второго рендерера и без небезопасной вставки HTML.

  • src/mcp/widget.ts — это независимый ванильный просмотрщик без зависимостей, отдельный от React-приложения в src/ui/. Ресурс iframe для ChatGPT должен быть одной самодостаточной HTML-строкой без этапа сборки, который мог бы устареть или отсутствовать во время выполнения; React-приложение — это локальная игровая площадка. Они разделяют одно и то же поведение (масштабирование/панорамирование/подгонка/копирование/экспорт) и один и тот же список разрешённого.

  • Автоподгонка включена по умолчанию, поэтому width/height действуют как подсказки, а не как жёсткий холст. Это устраняет наиболее распространённый режим отказа — модель выбирает слишком маленький холст и обрезает собственную диаграмму.


Installation

git clone <this repo>
cd visual-mcp
npm install

Требуется Node 20+ (разработано на Node 22/26).


Development

npm run dev:http      # MCP server over Streamable HTTP on http://localhost:3333/mcp
npm run dev:stdio     # MCP server over stdio (Claude Desktop, MCP Inspector, tunnels)
npm run dev:ui        # React playground on http://localhost:5180
npm test              # 128 tests
npm run typecheck
npm run build         # server → dist/
npm run build:ui      # playground → dist-ui/
npm run examples      # render the reference scenes → examples/out/index.html

Быстрая сквозная проверка на работающем сервере:

npm run dev:http &
npx tsx scripts/smoke-mcp.ts

Он воспроизводит весь целевой разговор — построить диаграмму без координат, проверить её, переместить два узла, обернуть всё в коробку — и проверяет результат на каждом шаге.


Available MCP tools

Инструмент

Что делает

Когда модель должна к нему обратиться

render_diagram

Строит и рендерит всю сцену за один вызов, возвращает sceneId.

Любой запрос нарисовать, визуализировать, изобразить в виде диаграммы, проиллюстрировать или объяснить визуально. Точка входа по умолчанию.

render_scene

Перерендеривает сохранённую сцену.

После пакета правок, чтобы показать результат.

get_scene

Возвращает сцену плюс вычисленный прямоугольник каждого элемента.

Перед редактированием — особенно для относительных изменений ("немного правее").

add_element

Добавляет один элемент, опционально внутри группы.

"Добавить балансировщик нагрузки", "нарисовать стрелку от A к B".

update_element

Изменяет только указанные поля; null очищает одно.

Каждый запрос "изменить это". Никогда не перерисовывать для этого.

remove_element

Удаляет элемент, каскадно удаляя его соединения и метки.

"Удалить кеш".

group_elements

Оборачивает элементы верхнего уровня в помеченную коробку, ничего не перемещая.

"Помести всё это внутрь AWS", "сгруппируй это в VPC".

create_scene

Создаёт пустой холст.

Только при сборке большой диаграммы по частям.

clear_scene

Очищает сцену, сохраняя её холст/тему/заголовок.

"Выбрось это, давай начнём заново".

list_examples

Возвращает рабочие примеры сцен и каталог типов.

Когда не уверены, как что-то выразить — скопируйте и адаптируйте.

Каждое описание инструмента сообщает, что он делает, когда его использовать, когда не использовать, и что означает каждое свойство, потому что другая модель читает это и принимает решение самостоятельно. Инструменты только для чтения имеют readOnlyHint: true, а разрушительные — destructiveHint: true, которые хосты используют для решения, что требует подтверждения.


Scene schema

interface Scene {
  id?: string;
  title?: string;
  subtitle?: string;
  width?: number;          // hint; autoFit grows the canvas so nothing is clipped
  height?: number;
  autoFit?: boolean;       // default true
  background?: string;
  theme?: "dark" | "light" | "blueprint" | "paper";
  themeOverrides?: Partial<Theme>;
  layout?: "auto" | "layered" | "horizontal" | "vertical" | "grid" | "manual";
  direction?: "right" | "down" | "left" | "up";
  gap?: number;
  padding?: number;
  legend?: boolean;
  elements: VisualElement[];
}

Каждый элемент имеет id и type. Идентификаторы стабильны и именно так работает диалоговое редактирование.

Primitives — what the renderer can draw

circle · ellipse · rectangle · line · arrow · text · polygon · polyline · path · group

Semantic elements — what the model should actually use

Тип

Назначение

node

Помеченная коробка. Десять форм (rounded, circle, diamond, hexagon, cylinder, cloud, stack, screen, pill, rect). Размер определяется по метке; позиция определяется по соединениям.

connection

Ссылка по id: { from: "a", to: "b" }. Находит обе границы, добавляет наконечник стрелки, остаётся корректным при перемещении любого конца. Маршрутизация: straight, curved, orthogonal.

group

Помеченный контейнер с собственной компоновкой. Границы, такие как "AWS", "VLAN 10".

axis

Система координат и фрейм данных.

point / scatter / cluster / plotLine

Маркеры и линии в данных координатах при указании frame: "<axis id>". cluster генерирует детерминированное, посеянное облако точек.

label

Подпись, которая может быть прикреплена к другому элементу по id и следует за ним.

server database router switch computer cloud

Доменные предустановки — node с уже выбранной правильной формой и глифом.

Layout

layout: "auto" (по умолчанию) строит многослойный поток из графа соединений, если они есть, в противном случае — строку. Элементы с явными x/y никогда не перемещаются, поэтому модель может подтолкнуть один узел, не нарушая остальные. direction управляет направлением роста потока.

Data frames

axis объявляет отображение из единиц данных в пиксели; всё с frame: "<axis id>" размещается в координатах данных, при этом y растёт вверх, как и должно:

{ "id": "plot",  "type": "axis",    "x": 90, "y": 70, "width": 620, "height": 420,
  "xRange": [0, 10], "yRange": [0, 10], "xLabel": "Feature 1", "yLabel": "Feature 2" },
{ "id": "class-a", "type": "cluster", "frame": "plot", "x": 3.4, "y": 6.6,
  "count": 40, "spread": 0.8, "label": "Class A", "hull": true, "seed": 7 }

Themes

Четыре встроенные темы (dark, light, blueprint, paper), каждая с полной палитрой и стеком шрифтов, который не требует внешних шрифтов. Элементы ссылаются на токены — primary, surface, muted, danger — а не на жёстко заданные цвета, поэтому вся диаграмма меняет стиль без изменения геометрии. themeOverrides изменяет любой токен.


Running locally

As a library, with no MCP at all

import { renderScene } from "visual-mcp";

const svg = renderScene({
  title: "Request flow",
  elements: [
    { id: "client", type: "computer", label: "Client" },
    { id: "api", type: "server", label: "API" },
    { id: "c", type: "connection", from: "client", to: "api", label: "HTTPS" },
  ],
});

As an HTTP server

npm run dev:http

Route

POST /mcp

Конечная точка MCP Streamable HTTP

GET /health

проверка работоспособности

GET /scenes

сохранённые сцены

GET /scenes/:id.svg

отрендеренная сцена

GET /viewer?svg=/scenes/:id.svg

интерактивный просмотрщик, автономный

Сервер не имеет состояния: каждый запрос получает свой собственный McpServer и транспорт, и хранилище сцен — единственное общее состояние. Именно это делает его безопасным за балансировщиком нагрузки или на бессерверной платформе, где два витка одного разговора могут не достичь одного и того же процесса.

As a stdio server (MCP Inspector, Claude Desktop, Cursor)

npx @modelcontextprotocol/inspector npx tsx src/mcp/stdio.ts
{
  "mcpServers": {
    "visual-mcp": {
      "command": "node",
      "args": ["/absolute/path/to/visual-mcp/dist/mcp/stdio.js"]
    }
  }
}

Connecting to ChatGPT

ChatGPT подключается к удалённым MCP-серверам через Streamable HTTP на публичной HTTPS-конечной точке, поэтому сервер должен быть доступен из интернета. Два способа:

A. Quick test with a tunnel

npm run dev:http                  # http://localhost:3333/mcp
npx localtunnel --port 3333       # or: ngrok http 3333, or cloudflared tunnel

B. Deploy with Docker on a VPS

docker-compose.yml запускает два контейнера: MCP-сервер на порту 4000 (не опубликован в интернет) и Caddy, который терминирует TLS перед ним и автоматически обновляет сертификат.

На этом VPS уже работают другие сервисы на портах 80 и 443, поэтому:

Порт

Причина

HTTPS / MCP endpoint

500

443 занят

ACME HTTP-01 challenge

90

80 занят

MCP-сервер

4000

только внутренний, никогда не публикуется

Загвоздка: Let's Encrypt всегда подключается к порту 80 для HTTP-01 — это фиксировано RFC 8555 и не настраивается; TLS-ALPN также фиксирован на 443. Caddy может слушать на 90, но кто-то должен перенаправить запрос туда. Поэтому тот, кто уже владеет портом 80, должен перенаправлять путь challenge на Caddy.

1. Выберите публичное имя хоста. ChatGPT требует HTTPS, а голый IP не может иметь сертификат. Если у вас нет своего домена, используйте sslip.io — он разрешает <ip>.sslip.io в этот IP без регистрации, и Let's Encrypt выдаёт для него сертификаты:

curl -4 ifconfig.me            # on the VPS -> e.g. 203.0.113.45
# hostname becomes: 203.0.113.45.sslip.io

2. Перенаправьте ACME challenge с сервера на порту 80. Определите его сначала:

sudo ss -lptn 'sport = :80'

nginx — внутри блока server { listen 80; }:

location /.well-known/acme-challenge/ {
    proxy_pass http://127.0.0.1:90;
    proxy_set_header Host $host;
}

Apache — внутри <VirtualHost *:80>:

ProxyPreserveHost On
ProxyPass        /.well-known/acme-challenge/ http://127.0.0.1:90/.well-known/acme-challenge/
ProxyPassReverse /.well-known/acme-challenge/ http://127.0.0.1:90/.well-known/acme-challenge/

Caddy — внутри блока сайта, обслуживающего порт 80:

handle /.well-known/acme-challenge/* {
    reverse_proxy 127.0.0.1:90
}

Используйте настоящий прокси, а не редирект 301: Let's Encrypt следует редиректам только на порты 80 и 443, поэтому редирект на :90 не сработает.

3. Настройте и запустите:

cp .env.example .env
# MCP_DOMAIN=203.0.113.45.sslip.io
docker compose up -d --build

Если сервер на порту 80 работает внутри своего контейнера, а не на хосте, 127.0.0.1:90 из него недоступен — установите MCP_HTTP_BIND=0.0.0.0 в .env и укажите прокси на внутренний IP VPS (или поместите оба контейнера в одну сеть Docker).

4. Проверьте (первый запрос может занять несколько секунд, пока выпускается сертификат):

curl https://$MCP_DOMAIN:500/health       # {"status":"ok",...}
docker compose logs caddy | grep -i "certificate obtained"

URL MCP будет https://<MCP_DOMAIN>:500/mcp, и он постоянен: restart: unless-stopped переживает перезагрузки, а сертификаты живут в томе caddy_data, поэтому обновления сохраняются между docker compose down/up. Только docker compose down -v удаляет их. Оставьте перенаправление challenge на месте — обновления каждые ~60 дней нуждаются в нём так же, как и первичная выдача.

PUBLIC_URL и ALLOWED_HOSTS выводятся из MCP_DOMAIN и MCP_HTTPS_PORT с помощью Compose. Оба должны содержать порт: PUBLIC_URL — потому что иначе ссылки svgUrl указывали бы на 443, а ALLOWED_HOSTS — потому что SDK сравнивает сырой заголовок Host (который на нестандартном порту выглядит как <domain>:500) как точную строку.

Если вы не можете трогать сервер на порту 80, HTTP-01 вообще недоступен. Варианты: DNS-01 challenge (требуется реальный домен на поддерживаемом DNS-провайдере — у sslip.io нет API) или Cloudflare Tunnel, которому не нужны входящие порты вообще.

Без Compose

docker build -t visual-mcp .
docker run -d --name visual-mcp --restart unless-stopped -p 127.0.0.1:4000:4000 \
  -e PUBLIC_URL=https://your-host -e ALLOWED_HOSTS=your-host visual-mcp

Затем направьте любой обратный прокси на http://127.0.0.1:4000. Контейнер запускается от непривилегированного пользователя node, имеет HEALTHCHECK /health и содержит только production-зависимости. Управляемые платформы (Fly.io, Railway, Render, Cloud Run) тоже работают — они подставляют свой PORT, который сервер учитывает.

Затем, в ChatGPT

  1. Включите режим разработчика. Он доступен в ChatGPT Business, Enterprise и Edu в веб-версии. Администратор включает его в Workspace Settings → Permissions & Roles → Connected Data → Developer mode / Create custom MCP connectors.

  2. Settings → Connectors → Create / Advanced → Developer mode → Add custom connector.

  3. Заполните:

    • Name: Visual MCP

    • MCP server URL: https://<your-host>/mcp

    • Authentication: No authentication (этот сервер поставляется без аутентификации — см. Безопасность)

  4. Сохраните. ChatGPT сразу вызывает tools/list; вы должны увидеть перечисленные десять инструментов.

  5. В новом чате включите коннектор и попросите диаграмму.

Сервер также регистрирует UI-ресурс MCP Apps (ui://visual-mcp/scene.html, text/html;profile=mcp-app), прикреплённый к инструментам рендеринга через _meta.ui.resourceUri и псевдоним ChatGPT _meta["openai/outputTemplate"]. Там, где это поддерживается, диаграмма отображается в интерактивном фрейме с масштабированием, панорамированием, подгонкой, копированием и экспортом; в остальных случаях инструменты всё равно возвращают SVG в structuredContent, поэтому сервер корректно деградирует.


Примеры

npm run examples рендерит все пять в examples/out/index.html, а list_examples подаёт их модели.

1. Сеть — examples/out/network.svg

Доменные пресеты и автоматическая компоновка слева направо. computer → switch → router → server, с подписями VLAN на соединениях. Никаких координат в исходной сцене.

2. LDA — examples/out/lda.svg

Фрейм данных axis, два инициализированных cluster с мягкими оболочками, пунктирная граница решения и направление LDA — всё в координатах данных, обе линии обрезаны по графику.

3. Регрессия — examples/out/regression.svg

Ось, серия scatter и подобранный plotLine с extend: true, на светлой теме.

4. Архитектура ПО — examples/out/architecture.svg

React → REST API → { Redis, PostgreSQL }, два хранилища внутри помеченной group («Слой данных»), в которую ведут соединения.

5. Бинарное дерево — examples/out/tree.svg

Семь круглых узлов и шесть соединений; слоистая компоновка, направленная down, даёт дерево.

Промпты для ChatGPT

Draw the architecture where React talks to NestJS, NestJS uses PostgreSQL and also queries Redis.
Now put Redis above the backend and the database below it.
Now put all the infrastructure inside a box called AWS.
Make PostgreSQL bigger and give it a purple border.

Explain Linear Discriminant Analysis visually.
Show me graphically how linear regression works.
Draw a network where a PC in VLAN 20 reaches a server in VLAN 10 through a switch and a router.
Draw a balanced binary tree with 7 nodes.
Explain the TCP three-way handshake as a diagram.
Diagram merge sort on [5, 2, 9, 1].

Безопасность

Модель угроз проста: всё, что отображает сервер, поступило от языковой модели, и этот вывод может содержать текст, который пользователь вставил откуда-то ещё. Поэтому ничто, полученное от модели, никогда не рассматривается как код.

  • Закрытая схема. Распознаются только двадцать четыре известных типа элементов. Цвета должны соответствовать грамматике hex/rgb/hsl/keyword/token — url(javascript:…) отклоняется при валидации. Данные пути должны соответствовать командам и числам SVG path, ничего другого.

  • Белый список вывода. Рендерер может выдавать только теги и атрибуты из двух явных списков в src/renderer/svgNode.ts. Нет on*, нет href, нет style, нет class, нет <foreignObject>, нет <script> — модель не может их выразить, а сериализатор в любом случае их отбросит.

  • Экранирование. Текстовое содержимое и значения атрибутов экранируются на выходе как XML.

  • Нет dangerouslySetInnerHTML, нет eval, нет new Function нигде в проекте. React-представление строит элементы из дерева SvgNode; виджет ChatGPT парсит SVG и перестраивает его узел за узлом, используя те же белые списки, так что даже скомпрометированный сервер не сможет внедрить скрипт в этот фрейм.

  • Ограниченный ввод. Количество элементов, длины строк, количество точек, длина пути и хранимые сцены — всё имеет лимиты; сцены удаляются по принципу «самые старые».

  • Нет стек-трейсов модели. Каждый обработчик обёрнут; любое неожиданное событие превращается в INTERNAL_ERROR с кратким сообщением.

Тесты в tests/security.test.tsx проверяют каждое из этих утверждений.

Не включено по замыслу: аутентификация. Сервер не раскрывает секретов и не взаимодействует с внешними системами, но публичное развёртывание — это публичное хранилище сцен. Поместите его за аутентификацией вашей платформы или добавьте OAuth через хелперы аутентификации SDK, прежде чем открывать кому-либо, кроме себя. Установите ALLOWED_HOSTS, чтобы включить защиту от DNS-ребондинга, когда сервер доступен из браузера.


Текущие ограничения

  • Метрики текста оцениваются, а не измеряются — на сервере нет движка шрифтов. Ширины находятся в пределах нескольких процентов для встроенных стеков без засечек, что достаточно для блоков и переносов, но необычный шрифт или много китайских/японских символов дадут небольшую погрешность.

  • Движок компоновки намеренно мал. Слои на основе самого длинного пути с центрированием рангов. В нём нет минимизации пересечений и разрешения наложений, поэтому плотный граф (примерно 25+ узлов с множеством перекрёстных связей) даст пересечения, которых настоящий движок избежал бы. Интерфейс оформлен по образу Dagre именно по этой причине.

  • Древовидные раскладки не центрированы по дочерним элементам; родитель находится в центре своего ранга, а не над серединой своих детей.

  • JSON Schema для render_diagram имеет размер около 50 КБ (~12k токенов), потому что она обучает всю лексику элементов. Остальные девять инструментов в сумме составляют ~5 КБ. Это осознанный компромисс: модель получает документацию по каждому полю и редко нуждается в повторном вызове для исправления.

  • Внутри группы с автоматической раскладкой явные x/y дочерних элементов игнорируются — раскладка имеет приоритет. Используйте layout: "manual" для группы, чтобы позиционировать детей самостоятельно.

  • Хранилище находится в памяти. Сцены не переживают перезапуск, а при наличии нескольких реплик сцена живёт на том экземпляре, который её создал. Интерфейс SceneStore существует, чтобы это можно было заменить одним классом.

  • Статический вывод. Пока нет анимации, 3D, парсера математических выражений — см. ниже.


План развития

Ближайшее

  • Постоянное SceneStore (сначала SQLite) — интерфейс уже готов.

  • Отмена/повтор. Каждая мутация уже записывается как SceneMutation; осталось хранить обратное действие.

  • Dagre или ELK за src/layout/flow.ts для плотных графов, с маленьким движком по умолчанию.

  • Древовидная раскладка с центрированием по дочерним элементам.

Математика — фрейм данных axis является основой; каждая из этих функций — один расширитель в src/semantic/, без изменений в рендерере: functionPlot ({ "expression": "x^2", "domain": [-5, 5] }), vector, matrix, plane, distribution, projection, decisionBoundary и regressionLine как именованные псевдонимы plotLine.

Словарь диаграммneuron, neuralNetwork, decisionTree, sequenceDiagram, stateMachine, gantt, swimlane.

Анимация{ "animation": { "type": "flow", "duration": 1200 } } на соединении, выводимая как SVG SMIL или CSS, чтобы оставаться декларативной и не требовать рантайма. Пакеты, движущиеся по ссылке, запрос, проходящий через конвейер, алгоритм, шагающий по структуре.

Другие рендереры — конвейер разрешения уже заканчивается деревом, не привязанным к бэкенду. Сцена с kind: "3d" и { "type": "sphere", "position": [0, 1, 0] } выберет бэкенд Three.js вместо SVG; бэкенд Canvas будет обслуживать очень большие точечные графики. Никаких изменений в слое MCP.


Лицензия

MIT

Available Tools

10 tools
add_elementAdd an elementA

Add one element to a scene that already exists.

USE THIS when the user wants something new in a diagram you already drew: "add a load balancer", "put a Redis cache next to the API", "draw an arrow from A to B".

Call get_scene first if you are not certain which ids exist. To link the new element to an existing one, make a second call with an element of type 'connection' referencing the two ids - the geometry is computed for you.

Omit x/y and the layout engine places it. Set parentId to put it inside a group.

This does not display anything. Call render_scene once your edits are done.

ParametersJSON Schema
NameRequiredDescriptionDefault
elementYesThe element to add: an object with a unique `id`, a `type`, and the properties of that type - exactly the same shape as the entries of `elements` in render_diagram. Types: node, connection, group, axis, point, scatter, cluster, plotLine, label, server, database, router, switch, computer, cloud, circle, ellipse, rectangle, line, arrow, text, polygon, polyline, path. Example: { "id": "cache", "type": "database", "label": "Redis" }.
sceneIdYesId of the scene to work on, as returned by render_diagram or create_scene.
parentIdNoId of a 'group' element to nest this inside.

Output Schema

ParametersJSON Schema
NameRequiredDescription
errorNoPresent only when success is false.
sceneIdNo
successYes
elementIdNo
elementCountNoTop-level elements in the scene after the add.

TDQS

A4.9/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the annotations (which are all false and give no safety hints), the description richly discloses behavior: 'Omit x/y and the layout engine places it', 'the geometry is computed for you', and 'This does not display anything. Call render_scene once your edits are done.' It also explains that parentId nests the element inside a group. These are meaningful behavioral traits not present in annotations or schema descriptions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured and front-loaded: a one-sentence summary, a bold 'USE THIS' callout, then prerequisites, special cases, and rendering note. Every sentence adds unique value—no fluff or repetition of schema content. It is compact despite covering multiple scenarios (first-time adds, connections, layout, grouping, rendering).

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is remarkably complete for a tool with nested objects and 3 parameters. It covers prerequisites (get_scene), the exact workflow for linking elements (connection type), layout behavior (omit x/y), grouping (parentId), and the follow-up step (render_scene). Since an output schema exists, the lack of return-value explanation is acceptable. The tool feels self-contained for an agent to invoke successfully.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so parameters are well-documented in the schema. The tool description nevertheless adds significant value: it explains that the element object is 'exactly the same shape as the entries of elements in render_diagram', provides a concrete example, and clarifies behavior of x/y (omit for auto-layout). This goes beyond the schema, though the core parameter meanings are already covered, so a 4 is appropriate rather than 5.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a clear, specific statement: 'Add one element to a scene that already exists.' This uses a strong verb ('Add'), defines the resource ('element'), and the target ('scene'). It distinguishes itself from sibling tools like update_element, remove_element, and group_elements by focusing solely on adding new elements. Concrete usage examples ('add a load balancer', 'draw an arrow from A to B') further clarify the purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit 'USE THIS' guidance tells the agent exactly when to apply the tool: 'when the user wants something new in a diagram you already drew.' It also provides alternative and prerequisite actions: 'Call get_scene first if you are not certain which ids exist' and 'Call render_scene once your edits are done.' The connection workflow is explained with 'make a second call with an element of type 'connection'', giving clear usage boundaries.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

clear_sceneEmpty a sceneA
DestructiveIdempotent

Remove every element from a scene while keeping its id, canvas, theme and title.

USE THIS when the user wants to restart the drawing but keep talking about the same diagram: "scrap that, let's do it differently".

DO NOT use it for corrections - update_element and remove_element exist for that, and they preserve everything the user already approved.

ParametersJSON Schema
NameRequiredDescriptionDefault
sceneIdYesId of the scene to work on, as returned by render_diagram or create_scene.

Output Schema

ParametersJSON Schema
NameRequiredDescription
errorNoPresent only when success is false.
sceneIdNo
successYes

TDQS

A4.7/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds significant behavioral context beyond what annotations provide. Annotations already indicate destructiveHint=true, so the destructive nature is known. But the description clarifies exactly what is destroyed (every element) and what is preserved (id, canvas, theme, title). It also notes that this is idempotent (idempotentHint=true is already in annotations). The only missing detail is whether undo is possible or what the output schema returns, but the output schema exists to specify that.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences with zero wasted words. The first sentence defines purpose and scope concisely. The second and third sentences provide usage guidelines and sibling differentiation in a clear, front-loaded manner. The 'USE THIS when' and 'DO NOT use it' structure is exceptionally clear.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple tool with only one parameter, clear annotations, and an output schema, the description is complete. It covers purpose, scope, preservation details, usage context, and exclusions. There is no missing critical information for an AI agent to correctly select and invoke this tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% for the single parameter, and the schema already documents that sceneId must match a specific pattern and length, and gives a helpful description. The description adds context by referring to 'as returned by render_diagram or create_scene', which helps in understanding how to obtain the correct ID. This surpasses the baseline of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool removes every element from a scene while preserving its id, canvas, theme, and title. It specifies the verb 'Remove every element' and the resource 'scene', and distinguishes itself from siblings like update_element and remove_element by describing its unique behavior of clearing all elements.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly tells when to use the tool ('when the user wants to restart the drawing but keep talking about the same diagram') and provides a concrete user utterance ('scrap that, let's do it differently'). It also explicitly tells when NOT to use it ('DO NOT use it for corrections') and names the appropriate alternatives (update_element and remove_element).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

create_sceneCreate an empty sceneA

Create a new, empty scene and get back its id.

USE THIS when you want to build a diagram incrementally - create the canvas, then add elements one at a time with add_element, then call render_scene when it is complete.

DO NOT use this when you already know the whole picture: render_diagram does the same job in one round trip and is almost always the better choice. Incremental building is only worth it for large diagrams you are assembling as the conversation goes.

Nothing is shown to the user until you call render_scene.

ParametersJSON Schema
NameRequiredDescriptionDefault
idNoStable, meaningful id (e.g. 'backend'). Reuse it later to update or remove this element.
gapNoSpacing used by the automatic layout. Default 90.
themeNoVisual theme. 'dark' (default) is a modern technical look, 'light' is for documents, 'blueprint' is a blue schematic, 'paper' is warm and printable.
titleNoDiagram title, drawn at the top. Keep it short - it is a caption, not a sentence.
widthNoCanvas width in pixels. Default 960. Use 1200+ for wide flows.
heightNoCanvas height in pixels. Default 600.
layoutNoHow elements without explicit x/y are placed. 'auto' (default) builds a layered flow from the connections when there are any, otherwise a row. 'layered' forces the flow layout, 'horizontal'/'vertical'/'grid' force a simple arrangement, 'manual' means you provide every x/y yourself.
legendNoShow a legend built from the `label` of scatter/cluster series. Default true.
autoFitNoGrow the canvas so nothing is clipped. Default true - leave it on and stop worrying about exact sizes.
paddingNoMargin around the drawing. Default 48.
subtitleNoOptional second line under the title.
directionNoDirection the layered flow grows in. Default 'right'.
backgroundNoCanvas background. Defaults to the theme background.
themeOverridesNoOptional palette overrides. Only set what you actually want to change.

Output Schema

ParametersJSON Schema
NameRequiredDescription
messageYes
sceneIdYes
successYes

TDQS

A4.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false and destructiveHint=false. The description adds that the scene is empty and that user sees nothing until render_scene is called. This context about the multi-step workflow goes beyond the annotations without contradicting them.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: three short paragraphs. The first sentence states purpose, the second gives usage direction, the third provides an important behavioral note. Every sentence earns its place with zero padding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 14 parameters (fully documented in the schema) and an output schema, the description does not need to cover those. It provides the essential workflow context—that this is part of a multi-step process culminating in render_scene—and explains the trade-off with render_diagram, which is sufficient for an agent to decide when to invoke.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%—every parameter has a detailed description in the schema. The tool description does not add new parameter-level information but also does not repeat what the schema provides, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Create a new, empty scene and get back its id,' which is a specific verb+resource statement. It clearly distinguishes from siblings like 'render_diagram' (alternative for known pictures) and 'add_element' (incremental step).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit 'USE THIS' section describes when to use (incremental building) and 'DO NOT use this' section points to the sibling 'render_diagram' as the better choice for one-shot creation. Also clarifies that nothing is shown until 'render_scene' is called.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_sceneInspect a sceneA
Read-onlyIdempotent

Return the current structured description of a scene: every element with its id, type and properties, plus the position and size each one actually ended up with.

USE THIS BEFORE EDITING whenever you are not sure of the current state - which ids exist, what a node is called, where it sits, what is already connected. Reading first is what makes small edits possible instead of redrawing the diagram from scratch.

The layout field gives the computed box (x, y, width, height) of every element, including ones you never gave coordinates to. Those are the numbers to use when the user asks for something relative: "a bit to the right", "above the backend", "same width as X".

This does not display anything.

ParametersJSON Schema
NameRequiredDescriptionDefault
sceneIdYesId of the scene to work on, as returned by render_diagram or create_scene.
elementIdNoReturn just this one element instead of the whole scene.
includeLayoutNoInclude the computed box of every element. Default true.

Output Schema

ParametersJSON Schema
NameRequiredDescription
idsNoEvery element id in the scene.
errorNoPresent only when success is false.
sceneNoThe full scene, ready to be edited or re-sent.
layoutNoMap of element id to { x, y, width, height }.
elementNo
historyNoThe last few mutations applied to this scene.
sceneIdNo
successYes

TDQS

A4.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds valuable behavioral context: the layout field includes computed boxes for elements never given coordinates, and it warns that the tool does not display anything. This goes beyond the safety profile provided by annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded: it states the main function in the first sentence, then provides targeted usage guidance and a caveat. Every sentence earns its place, and the bolded 'USE THIS BEFORE EDITING' plus the final 'This does not display anything' are high-signal phrases with no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With full annotations, a complete input schema (100% coverage), and an output schema, the description supplies all necessary operational context: when to use, what to expect, and a key caveat about non-display. No critical gaps remain for a read-only inspection tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with clear descriptions for all three parameters, giving a baseline of 3. The description adds extra meaning by explaining the layout field operationally—'the computed box (x, y, width, height) of every element, including ones you never gave coordinates to'—which clarifies how to use parameters for relative positioning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource: 'Return the current structured description of a scene' and enumerates the exact contents (id, type, properties, position, size). It also clearly distinguishes itself from rendering siblings with the explicit note 'This does not display anything.'

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use it: 'USE THIS BEFORE EDITING whenever you are not sure of the current state.' It also implies exclusions (not for display) but does not explicitly name alternative tools like render_diagram, so it stops short of a full 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

group_elementsGroup elements into a labelled boxA

Wrap existing top-level elements in a labelled container.

USE THIS for "put all of this inside a box called AWS", "group these services into a VPC", "draw a boundary around the data layer", "show which parts are in VLAN 10".

The members keep their ids, and every connection to or from them keeps working - including connections that cross the boundary.

Set layout to re-arrange the members inside the box ('vertical' stacks them, 'horizontal' puts them in a row, 'grid' wraps them). Leave it out to keep their current arrangement.

Only top-level elements can be grouped. To nest a group inside another group, create the inner one first, then group it together with its siblings.

ParametersJSON Schema
NameRequiredDescriptionDefault
fillNoBackground colour.
labelNoText drawn on the box, e.g. 'AWS'.
layoutNoRe-arrange the members. Default 'manual' (keep their current positions).
strokeNoBorder colour.
groupIdYesId for the new group, e.g. 'aws' or 'vlan-10'.
sceneIdYesId of the scene to work on, as returned by render_diagram or create_scene.
elementIdsYesIds of the top-level elements to move inside the box.

Output Schema

ParametersJSON Schema
NameRequiredDescription
errorNoPresent only when success is false.
groupIdNo
membersNo
sceneIdNo
successYes

TDQS

A4.9/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description goes well beyond the annotations (which only mark non-read-only/non-destructive) by detailing behavioral traits: 'The members keep their ids, and every connection to or from them keeps working - including connections that cross the boundary.' It also explains how the layout parameter affects arrangement and the default behavior ('manual' keeps current positions). This provides rich behavioral context the agent needs for safe invocation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise yet comprehensive, with only 9 sentences. It front-loads the core purpose, then provides usage examples, behavioral guarantees, parameter guidance, and a crucial limitation for nesting. Every sentence adds unique value without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (7 parameters, 3 required, 100% schema coverage, output schema present), the description is complete. It explains the grouping behavior, parameter effects, constraints ('Only top-level elements can be grouped'), and nesting strategy. There are no gaps in understanding what the tool does or how to use it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 100% schema description coverage, the schema already documents all parameters thoroughly. The description adds value by explaining the layout parameter options in natural language ('vertical stacks them, horizontal puts them in a row, grid wraps them') and clarifying the scope of elementIds ('top-level elements'). However, it doesn't add meaning to all 7 parameters (e.g., fill, stroke, sceneId are not elaborated beyond schema).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb+resource ('Wrap existing top-level elements in a labelled container'), immediately clarifying what the tool does. It is easily distinguishable from siblings like 'add_element' (which adds individual elements, not grouping) and 'render_diagram' (which visualizes the whole scene). The examples concretely illustrate its scope and differentiate it from other tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit usage examples ('put all of this inside a box called AWS'), including when to use it ('group these services into a VPC') and a clear limitation ('Only top-level elements can be grouped') with guidance on how to handle nesting ('create the inner one first, then group it together with its siblings'). This effectively tells the agent when and how to use this tool over alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_examplesShow example scenesA
Read-onlyIdempotent

Return complete, working example scenes for common kinds of diagram.

USE THIS when you are unsure how to express something with this server: which element type fits, how data frames work, how to nest a group. Copy the closest example and adapt it - that is faster and more reliable than guessing at the schema.

Call it with no arguments for the catalogue, or with name for one full scene you can pass straight to render_diagram.

Available: network, lda, regression, architecture, tree.

ParametersJSON Schema
NameRequiredDescriptionDefault
nameNoReturn the full scene for this example. Omit for the catalogue.

Output Schema

ParametersJSON Schema
NameRequiredDescription
sceneNo
successYes
examplesNo
elementTypesNo

TDQS

A4.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds the behavioral insight that calling with 'name' returns a full renderable scene, which goes beyond the schema. However, it does not detail what the output looks like or that it should be passed to render_diagram, though the token 'render_diagram' hints at integration. With annotations covering safety, a score of 3 is appropriate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with no wasted words. It front-loads the core purpose, immediately follows with usage guidance, and ends with a clear list of available examples. Every sentence contributes meaning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity (1 parameter, no required ones, enums documented, output schema exists), the description is largely complete. It explains the tool's role, how to invoke it, and the available options. A minor gap is not explicitly stating that the output scene is meant for render_diagram, but the sibling context and the phrase 'pass straight to render_diagram' cover this adequately.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already documents the single parameter 'name' with enum values. The description adds value by explaining the two usage modes (no args vs with name) and lists the available examples in the enum. However, it repeats what the enum provides, offering only incremental context. Baseline 3 is correct.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly defines the tool's purpose with a specific verb-resource pair: 'Return complete, working example scenes.' It distinguishes the tool from siblings by stating these are examples to help when unsure about schema usage, unlike render_diagram or get_scene which serve different functions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use this tool ('when you are unsure how to express something'), advises against alternatives ('guessing at the schema'), and provides a behavioral tip ('Copy the closest example and adapt it - that is faster and more reliable'). It also clarifies the two calling modes: no arguments for catalogue, or with name for a full scene.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

remove_elementRemove an elementA
DestructiveIdempotent

Delete one element from a scene.

USE THIS for "remove the cache", "delete that arrow", "drop the second database".

Connections pointing at the element, and labels attached to it, are deleted with it by default - otherwise the scene would keep dangling references. Set cascade to false only if you plan to repair those references yourself in the same turn.

Removing a 'group' also removes everything inside it. To keep the children, update the group instead and set frame to false.

ParametersJSON Schema
NameRequiredDescriptionDefault
cascadeNoAlso remove connections and labels attached to it. Default true.
sceneIdYesId of the scene to work on, as returned by render_diagram or create_scene.
elementIdYesId of the element to remove.

Output Schema

ParametersJSON Schema
NameRequiredDescription
errorNoPresent only when success is false.
removedNoEvery id that was deleted, including cascaded ones.
sceneIdNo
successYes

TDQS

A4.9/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond annotations (destructiveHint=true), the description details the cascade behavior, deletion of connections and labels, and implications for groups. It warns about dangling references and when to set cascade=false, providing rich behavioral insight.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured: opening purpose statement, usage examples, behavioral detail, and a specific note on groups. Every sentence adds value, no fluff, and it's appropriately compact for the complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's destructive nature and edge cases (dependencies, groups), the description covers all necessary aspects. It explains when to use, side effects, parameter nuances, and alternative actions. With an output schema present, no return-value explanation is needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers all parameters at 100%, so baseline is 3. The description adds value by explaining cascade semantics in depth (when to use false) and the group removal behavior, which goes beyond the schema's simple descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Delete one element from a scene' with a specific verb and resource. It distinguishes from siblings by giving usage examples like 'remove the cache' and contrasts with add_element/update_element. The purpose is unambiguous and well-scoped.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly tells the agent when to use it with 'USE THIS for...' and provides examples. It also gives guidance on when not to use cascade and advises updating the group instead to keep children. This is excellent context for selecting the tool over alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

render_diagramRender a diagramA

Create and render a structured visual diagram as SVG, in a single call.

USE THIS whenever the user asks to draw, sketch, visualise, diagram, illustrate, map out, show graphically, explain visually, or represent something spatially: architectures, network topologies, flows, pipelines, data structures, algorithms, state machines, relationships, plots, distributions, classifiers, or any concept where position and connection carry meaning.

ALWAYS PREFER THIS OVER ASCII ART, box-drawing characters, Markdown tables used as layout, or hand-written SVG/Mermaid. Those are unreliable and hard to read; this tool produces a precise, styled picture and the user sees it directly.

HOW TO USE IT WELL:

  • Describe WHAT exists, not WHERE it goes. Give elements ids and labels and omit x/y: the layout engine positions them from the connections. Only set x/y when the user asks for a specific arrangement, or for plots built on an axis.

  • Link things with { type: 'connection', from: '<id>', to: '<id>' }. Never compute x1/y1/x2/y2 for a link between elements, and never draw arrowheads by hand.

  • Use semantic types (node, database, server, router, switch, computer, cloud, group, axis, cluster, scatter, plotLine, label) before reaching for raw primitives (circle, rectangle, line, arrow, text, path, ...).

  • Canvas size is optional: the drawing is auto-fitted so nothing is ever clipped.

DO NOT use this tool for: plain prose answers, code, tables of numbers, or when the user explicitly asked for text only.

Returns a sceneId. Keep it: later edits go through update_element / add_element / remove_element on that id instead of rebuilding the whole scene.

ParametersJSON Schema
NameRequiredDescriptionDefault
gapNoSpacing used by the automatic layout. Default 90.
themeNoVisual theme. 'dark' (default) is a modern technical look, 'light' is for documents, 'blueprint' is a blue schematic, 'paper' is warm and printable.
titleNoDiagram title, drawn at the top. Keep it short - it is a caption, not a sentence.
widthNoCanvas width in pixels. Default 960. Use 1200+ for wide flows.
heightNoCanvas height in pixels. Default 600.
layoutNoHow elements without explicit x/y are placed. 'auto' (default) builds a layered flow from the connections when there are any, otherwise a row. 'layered' forces the flow layout, 'horizontal'/'vertical'/'grid' force a simple arrangement, 'manual' means you provide every x/y yourself.
legendNoShow a legend built from the `label` of scatter/cluster series. Default true.
autoFitNoGrow the canvas so nothing is clipped. Default true - leave it on and stop worrying about exact sizes.
paddingNoMargin around the drawing. Default 48.
elementsYesEverything in the picture. Order matters: later elements are drawn on top.
subtitleNoOptional second line under the title.
directionNoDirection the layered flow grows in. Default 'right'.
backgroundNoCanvas background. Defaults to the theme background.
themeOverridesNoOptional palette overrides. Only set what you actually want to change.

Output Schema

ParametersJSON Schema
NameRequiredDescription
svgNoThe rendered SVG markup.
titleNo
widthYes
formatYes
heightYes
svgUrlNoDirect link to the rendered SVG, when deployed.
sceneIdYesUse this id with get_scene / update_element / add_element.
successYes
elementCountYes

TDQS

A4.6/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=false, destructiveHint=false, idempotentHint=false, openWorldHint=false. The description goes beyond these by disclosing specific behavioral traits: 'the layout engine positions them from the connections', 'Canvas size is optional: the drawing is auto-fitted', 'Order matters: later elements are drawn on top', and 'Returns a sceneId. Keep it: later edits go through update_element / add_element / remove_element on that id.' This is rich context beyond just the boolean hints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the essential purpose in the first sentence, then branches into use cases, usage rules, best practices, and exclusions. It is quite long but every section earns its place—the 'HOW TO USE IT WELL' section is especially valuable for correct tool invocation. One minor redundancy: 'DO NOT use this tool for: plain prose answers, code, tables of numbers, or when the user explicitly asked for text only' could be slightly tighter, but overall it's well-structured and efficient for the complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the high complexity (14 params, nested objects, 21 element types), the description is remarkably complete. It covers creation, layout guidance, element semantics, positioning philosophy, return value ('Returns a sceneId'), and lifecycle ('later edits go through update_element / add_element / remove_element'). An output schema exists, so return value details don't need to be in the description. The description fully equips an agent to invoke this tool correctly across a wide range of diagram types.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description adds significant meaning beyond the schema: it explains layout philosophy ('Describe WHAT exists, not WHERE it goes', 'omit x/y: the layout engine positions them'), provides best-practice usage for connections ('Link things with { type: 'connection', from: '<id>', to: '<id>' }'), lists semantic element types to prefer, and gives theme descriptions (''dark' (default) is a modern technical look'). This goes well above the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states 'Create and render a structured visual diagram as SVG, in a single call.' It lists specific use cases like architectures, network topologies, flows, plots, etc., and distinguishes this tool from alternatives like ASCII art, Mermaid, or manual SVG by asserting 'ALWAYS PREFER THIS OVER...'. The verb+resource combo is very specific, and the guidance on when to use it versus parents like add_element or create_scene is clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description includes a 'USE THIS whenever the user asks...' block listing numerous contexts (visualize, map out, diagram, etc.) and a 'DO NOT use this tool for' block excluding plain prose, code, or pure-text requests. It also advises 'ALWAYS PREFER THIS OVER ASCII ART, box-drawing characters...' and mentions alternatives ('later edits go through update_element / add_element / remove_element'). This provides comprehensive when-to-use and when-not-to-use guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

render_sceneRender an existing sceneA
Read-onlyIdempotent

Render a stored scene and show it to the user.

USE THIS after a batch of add_element / update_element / remove_element / group_elements calls, to display the updated diagram. It is the last step of every edit.

This never changes the scene - it only draws what is currently in it. For a brand new diagram use render_diagram instead, which builds and shows it in one call.

ParametersJSON Schema
NameRequiredDescriptionDefault
sceneIdYesId of the scene to work on, as returned by render_diagram or create_scene.

Output Schema

ParametersJSON Schema
NameRequiredDescription
svgNoThe rendered SVG markup.
errorNoPresent only when success is false.
titleNo
widthNo
formatNo
heightNo
svgUrlNoStable link to the rendered SVG, when deployed.
sceneIdNo
successYes
elementCountNo

TDQS

A4.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already provide readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds value by explaining the tool 'never changes the scene - it only draws what is currently in it', which reinforces the behavioral contract beyond the annotations. A slight deduction is that it doesn't mention any potential rendering delays or failure modes.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise with only three sentences, all front-loaded with the core purpose. Every sentence adds value: purpose, usage guidelines, and exclusion of alternatives. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 1 parameter with full schema coverage, an output schema, and comprehensive annotations, the description is complete. It provides all necessary context for an agent to select and invoke this tool correctly: purpose, usage flow, behavioral safety, parameter source, and sibling differentiation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description adds some value by mentioning the sceneId is 'as returned by render_diagram or create_scene', providing context on how to obtain valid IDs. However, it doesn't add new meaning about the parameter format beyond the schema's pattern.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states this tool renders a stored scene and shows it to the user. It uses specific verbs ('render', 'show', 'display') and identifies the resource ('stored scene', 'updated diagram'), distinguishing it from siblings like render_diagram which builds a new diagram.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly tells when to use this tool: after a batch of editing calls (add_element, update_element, etc.) as the last step of every edit. It also clearly states when NOT to use it: for brand new diagrams, use render_diagram instead. This provides excellent context for an AI agent to decide.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

update_elementUpdate an elementA
Idempotent

Change properties of one element. Only the fields you send are touched; everything else in the scene stays exactly as it is.

USE THIS for every 'change that' request: move it, resize it, recolour it, rename its label, make a link dashed, add a caption to a connection. For a relative move like "a bit to the right", read the current position with get_scene and send the new value.

DO NOT call render_diagram again to change one thing. That throws away the scene id, the layout and everything the user already accepted.

id and type cannot be changed - remove and re-add the element if you truly need that. Send null as a value to clear an optional property; for example { "x": null, "y": null } hands the element back to the automatic layout.

Nothing is displayed until you call render_scene.

ParametersJSON Schema
NameRequiredDescriptionDefault
changesYesProperties to set. Examples: { "x": 420 } to move, { "label": "PostgreSQL 16" } to rename, { "fill": "primary", "emphasis": "strong" } to highlight, { "dash": "dashed" } on a connection, { "width": 240, "height": 120 } to resize. null clears an optional property.
sceneIdYesId of the scene to work on, as returned by render_diagram or create_scene.
elementIdYesId of the element to change.

Output Schema

ParametersJSON Schema
NameRequiredDescription
errorNoPresent only when success is false.
elementNoThe element after the change.
sceneIdNo
successYes
elementIdNo

TDQS

A5/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already mark destructiveHint=false and readOnlyHint=false, so mutation is expected. The description goes far beyond by explaining partial update semantics ('Only the fields you send are touched'), immutability of id and type, how to clear properties with null, and the critical fact that nothing is displayed until render_scene is called. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is four paragraphs, each focused on a distinct aspect (what the tool does, use-cases, anti-patterns, edge cases/immutability/clearing, and rendering dependency). Every sentence serves a purpose; no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (3 params, all required, one being a nested object), the description fully covers usage, limitations, behavioral nuances, and integration with sibling tools. An output schema exists, so return values are not needed in the description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but the description adds enormous value: it explains how to use the `changes` parameter with concrete examples, clarifies that null clears optional properties, and eliminates ambiguity around partial updates. The schema itself is well-described, but the description contextualizes the schema's static definitions into actionable guidance.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses the specific verb 'Change properties' targeting 'one element', clearly distinguishing it from sibling tools like add_element or remove_element. It also explicitly calls out what it does and does not do, making its purpose unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides excellent usage guidance: it tells when to use this tool ('USE THIS for every change that request'), provides examples of specific changes, and explicitly tells when NOT to use alternatives ('DO NOT call render_diagram again to change one thing'). It also gives a relative-move workaround using get_scene.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 10 tool updatesv0.1.0
    • First observedadd_element
    • First observedclear_scene
    • First observedcreate_scene
    • First observedget_scene
    • First observedgroup_elements
    • First observedlist_examples
    • First observedremove_element
    • First observedrender_diagram
    • First observedrender_scene
    • First observedupdate_element

TDQS

A4.6/5.0
Disambiguation5/5

Each tool targets a distinct phase of the diagram lifecycle: create-and-render, render-existing, inspect, mutate, group, clear, and example lookup. The descriptions clearly separate render_diagram from create_scene/render_scene and get_scene from render_scene, so an agent should not misselect.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern: render_diagram, get_scene, add_element, update_element, remove_element, group_elements, clear_scene. The convention is uniform and predictable across the entire set.

Tool Count5/5

10 tools is well-scoped for a diagramming server: one call for whole diagrams, plus granular create/read/update/delete/render/group operations. Each tool serves a clear purpose without redundancy or bloat.

Completeness4/5

The lifecycle is well covered: create, render, inspect, add, update, remove, group, clear, and example guidance. The main gap is the lack of a dedicated ungroup operation, and there is no scene deletion/list tool, though clear_scene mitigates restart scenarios.

Maintenance

ActivityMaintained
ResponsivenessNo issues

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