runtime-mcp-server
Сервер MCP диагностики времени выполнения (runtime-mcp-server)
Локальный сервер Model Context Protocol (MCP), предоставляющий ИИ-агентам для написания кода (например, OpenAI Codex CLI) диагностику состояния выполнения в реальном времени, мониторинг процессов и анализ журналов для локальных сред разработки.
🎯 Назначение
ИИ-агенты для написания кода отлично справляются с анализом статического кода, но не видят состояние выполнения программы. Этот сервер закрывает этот разрыв, предоставляя ИИ-агентам программные инструменты только для чтения, которые позволяют наблюдать за работающими процессами, анализировать журналы сбоев, проверять активные порты и отслеживать системные ресурсы.
Related MCP server: Harbor MCP Server
🛠️ Основные инструменты (возможности v1)
tail_app_logsОписание: Читает и отслеживает последние потоки stdout/stderr или журналы сбоев активных фоновых dev-серверов (
npm run dev,python,docker).Цель: Автоматически передаёт Codex необработанные стек-трейсы без ручного копирования.
inspect_portsОписание: Сканирует активные локальные сетевые порты (например, 3000, 8080) и определяет идентификаторы процессов (PID), занимающих эти порты.
Цель: Автоматически устраняет ошибки
EADDRINUSE/ «Порт уже занят» и может безопасно отправлять сигналы зомби-процессам.
get_process_metricsОписание: Отслеживает использование CPU и RAM конкретными локальными процессами приложений.
Цель: Помогает Codex в реальном времени обнаруживать бесконечные циклы, утечки памяти и вышедшие из-под контроля фоновые сценарии.
capture_network_errorsОписание: Проверяет локальные неудачные HTTP/gRPC-ответы, CORS-заголовки и статус-коды.
Цель: Находит первопричины неработающих локальных API-соединений между фронтендом и бэкендом.
🏗️ Технический стек
Язык: TypeScript / Node.js
Протокол: Model Context Protocol (MCP) через
@modelcontextprotocol/sdkТранспорт: стандартный ввод/вывод (
stdio)Системные API:
child_process,fs/promises,psutil/ системные утилиты для работы с процессами
🚀 Начало работы
Установите зависимости и скомпилируйте исходный код TypeScript:
npm install
npm run buildЗапустите MCP-сервер:
npm startБазовый сервер подключается через stdio и готов к добавлению диагностических инструментов.
🚀 Интеграция с Codex CLI
Настраивается в ~/.codex/config.json (или в настройках клиента Codex):
{
"mcpServers": {
"runtime-diagnostics": {
"command": "node",
"args": ["/Users/USERNAME/Documents/Codex/runtime-mcp-server/build/index.js"]
}
}
}📋 Дорожная карта разработки
Инициализировать проект TypeScript и
@modelcontextprotocol/sdkРеализовать инструмент
inspect_portsРеализовать инструмент
tail_app_logsРеализовать инструмент
get_process_metricsДобавить интеграционные тесты с Codex CLI
Available Tools
1 toolinspect_portsA
Inspects active local network ports to determine which process ID (PID) and application are occupying a port.
| Name | Required | Description | Default |
|---|---|---|---|
| port | No | Optional local port to inspect. Must be an integer from 1 to 65535. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full transparency burden. 'Inspects' signals a non-destructive read, and the result (PID/application) is stated. However, it does not disclose what happens when port is omitted, what output shape to expect, or whether elevated privileges are required.
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?
The description is a single focused sentence that states the action, target resource, and purpose without filler or repetition. Every phrase contributes useful information.
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?
The tool is simple, but with no output schema and no annotations, the description should clarify omitted-port behavior and return contents more precisely. Mentioning PID and application is likely enough for basic use, but some interpretation remains.
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?
The schema already fully describes the port parameter, including optionality and range. The description adds no new parameter semantics beyond the association between port being and PID/application resolution, so the baseline score of 3 is appropriate.
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 uses a specific verb ('Inspects'), names the resource ('active local network ports'), and states the outcome (identify PID and application). It clearly distinguishes itself from any generic or unknown tool, and no sibling tools are provided to confuse selection.
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?
The description gives clear context: use this tool when you need to map a local port to the process and app using it. It does not explicitly state when not to use it or name alternatives, but the absence of sibling tools makes that less necessary.
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 tool update
v1.0.0- First observed
inspect_ports
TDQS
With only one tool available, there is no possibility of confusing it with other tools. The tool's purpose is clearly defined and stands alone.
The single tool name follows a clear verb_noun pattern. Since there is only one tool, there are no inconsistencies or competing naming conventions to evaluate.
The server is named 'runtime-mcp-server,' suggesting broad runtime management capabilities, but it exposes only a single port inspection tool. This feels severely undersized for the stated scope.
The tool surface is limited to inspecting ports, with no support for managing processes, terminating processes, or interacting with runtime state in any other meaningful way. The server's purpose appears very narrow, leaving significant gaps for any real runtime management workflow.
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