deckrun-mcp
MCP-сервер Deckrun
Примечание: Хостинговые эндпоинты Deckrun (
free.agenticdecks.com,deckrun-mcp-free.agenticdecks.com,api.agenticdecks.com) предоставляются по запросу — см. Доступ и наличие. Пакетpip install deckrun-mcpи описанные ниже пути для локального выполнения работают сразу с вашим собственным развертыванием. Для получения доступа к хостингу отправьте запрос на доступ — мы отвечаем в течение одного рабочего дня.
MCP-сервер для Deckrun от Agentic Decks — создание PDF-презентаций, озвученных видео и аудио из Markdown. Создан для ИИ-агентов и IDE.
Deckrun — это движок для выполнения документов: ваш ИИ пишет контент, а Deckrun преобразует его в идеальные брендированные PDF-файлы, озвученные MP4-видео и MP3-аудио из одного Markdown-источника. Никаких редакторов слайдов, видеоредакторов или аудиостудий.
Установка: pip install deckrun-mcp
Быстрый старт — установка не требуется
HTTP-транспорт уже размещен и готов к работе. Добавьте один фрагмент JSON в вашу IDE.
VS Code (GitHub Copilot Chat — v1.99+)
.vscode/mcp.json в вашем проекте (этот файл включен в репозиторий):
{
"servers": {
"deckrun": {
"type": "http",
"url": "https://deckrun-mcp-free.agenticdecks.com/mcp/"
}
}
}Cursor
.cursor/mcp.json в вашем проекте:
{
"mcpServers": {
"deckrun": {
"url": "https://deckrun-mcp-free.agenticdecks.com/mcp/"
}
}
}Google Antigravity (Gemini CLI)
~/.gemini/antigravity/mcp_config.json:
{
"mcpServers": {
"deckrun": {
"serverUrl": "https://deckrun-mcp-free.agenticdecks.com/mcp/"
}
}
}Claude Code (терминал)
~/.claude/settings.json:
{
"mcpServers": {
"deckrun": {
"type": "http",
"url": "https://deckrun-mcp-free.agenticdecks.com/mcp/"
}
}
}Related MCP server: mcp-ToseaAI
Установка Stdio (Claude Desktop и другие клиенты, работающие только через stdio)
pip install deckrun-mcpClaude Desktop — ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"deckrun": {
"command": "python",
"args": ["/path/to/deckrun_mcp.py"]
}
}
}Платный тариф — добавьте API-ключ:
{
"mcpServers": {
"deckrun": {
"command": "python",
"args": ["/path/to/deckrun_mcp.py"],
"env": { "DECKRUN_API_KEY": "dk_live_..." }
}
}
}Получите свой API-ключ на сайте agenticdecks.com после оформления подписки.
Инструменты
Бесплатный тариф (ключ не требуется)
Инструмент | Описание |
| Получение актуальной спецификации формата слайдов — теги макета, правила синтаксиса, примеры Markdown |
| Преобразование Markdown Deckrun в PDF. Возвращает публичную ссылку (срок действия 90 дней) |
Платный тариф (установлен DECKRUN_API_KEY)
Все бесплатные инструменты плюс:
Инструмент | Описание |
| Markdown → озвученное MP4 (асинхронно, возвращает |
| Заметки к слайдам → MP3-озвучка (асинхронно, возвращает |
| Опрос статуса асинхронной задачи до состояния |
| Название плана, использованные/оставшиеся единицы рендеринга, активные дополнения |
| Проверка Markdown Deckrun и получение предварительной оценки стоимости |
| Список доступных тем для слайдов/документов (системные + пользовательские) |
| Список доступных голосов для озвучки — id, имя, тариф, язык |
Пример промпта
После настройки попросите ваш ИИ:
"Создай презентацию из 6 слайдов о будущем периферийных вычислений (edge computing)"
ИИ вызовет get_slide_format, чтобы изучить синтаксис, напишет Markdown, вызовет generate_slide_deck и ответит ссылкой на PDF.
HTTP-эндпоинты
Тариф | MCP-эндпоинт |
Бесплатный |
|
Платный |
|
Обнаружение: GET <endpoint> возвращает метаданные сервера в формате JSON.
Ссылки
Agentic Decks — главная страница продукта
Бесплатный тариф — создание PDF мгновенно, без регистрации
Дизайнер фона слайдов — бесплатный инструмент для создания фонов слайдов
Блог: Создание бесплатного PDF из Claude Code — пошаговое руководство
Справочник по формату слайдов — теги макета, правила синтаксиса, примеры
Цены — планы от $25 в месяц
Документация — API-документация и руководства
PyPI —
pip install deckrun-mcp
Available Tools
2 toolsgenerate_slide_deckA
Convert Deckrun Markdown into a PDF slide deck. Call get_slide_format first to learn the correct Markdown format. Then call this tool with the completed Markdown. Returns: url (public PDF, 90-day expiry), slug, slides (count), warnings (non-fatal notices to self-correct), schema_version. Limits: max 10 slides, 50 KB Markdown. Slides separated by --- on its own line.
| Name | Required | Description | Default |
|---|---|---|---|
| markdown | Yes | Complete slide deck in Deckrun Markdown format. Must start with a title slide using <!-- <title-slide /> -->. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. Discloses return values (url with expiry, slug, slides count, warnings, schema_version) and non-fatal notices. Could mention whether operation is destructive, but creation is implied.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Concise, well-structured sentences. Front-loads main action, then details prerequisites, return fields, and limits. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Complete for a simple tool with one parameter and no output schema. Covers prerequisites, limits, return values, and warnings. No gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage 100% with one parameter. Description adds crucial formatting constraint (must start with title slide using specific comment) and reiterates limits beyond schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states it converts Deckrun Markdown into a PDF slide deck, distinct from sibling get_slide_format which teaches the format.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly instructs to call get_slide_format first, provides limits (max 10 slides, 50 KB), and explains return fields including warnings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_slide_formatA
Fetch the authoritative Deckrun slide format specification. Call this first to learn all layout tags, Markdown syntax, and rules before writing slides. Returns JSON with layout_tags, surface_syntax, example_markdown, and limits.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description must bear full burden. It states the tool returns JSON with specific fields, but does not explicitly declare it as read-only or side-effect-free, nor mention any auth or rate limits. The nature of the tool is apparent, but some behavioral detail is missing.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with action and purpose. Every sentence provides essential information with no redundancy or waste.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, the description fully specifies the return structure (layout_tags, surface_syntax, example_markdown, limits). This is complete for a simple format-fetching tool with zero parameters.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist (0 params, 100% schema coverage). Baseline is 4. The description adds value by listing the return fields (layout_tags, surface_syntax, etc.), which helps the agent interpret the output beyond the empty schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool fetches the authoritative Deckrun slide format specification, with specific verb 'Fetch' and resource 'slide format specification'. It distinguishes from sibling 'generate_slide_deck' by indicating this is a preliminary step.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly says 'Call this first to learn... before writing slides', providing clear when to use. Does not explicitly state when not to use or mention alternatives aside from the implied sibling tool.
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.
2 tool updates
v1.1.1- First observed
generate_slide_deck - First observed
get_slide_format
TDQS
The two tools have completely distinct purposes: one provides the format specification, the other generates the slide deck. No overlap in functionality.
Both tool names follow a consistent verb_noun pattern: 'generate_slide_deck' and 'get_slide_format'. Conventions are uniform.
With only 2 tools, the server feels minimal. While it covers the core workflow (get format, generate), the count is low for a full-featured service, but not extreme.
The tool set covers the essential flow: fetch format then generate. However, it lacks tools for managing or revising decks, leaving notable gaps for repeated use.
Maintenance
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