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Python Docs Server

by AnuragRai017
GitHub
JavaScript
Apache 2.0
  • Apple
OverviewInspectNewSchemaRelated ServersReviewsScore
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Integrations

  • Utilizes the Brave Search API to fetch relevant Python documentation links based on user queries

  • Provides tools to search and retrieve Python documentation to answer specific queries about the Python programming language

Servidor MCP de python-docs-server

Un servidor de protocolo de contexto de modelo

Este es un servidor MCP basado en TypeScript que proporciona herramientas para obtener documentación de Python mediante la API de búsqueda Brave.

Características

Herramientas

  • get_python_docs : obtiene la documentación de Python para una consulta determinada
    • Toma una consulta de búsqueda como parámetro obligatorio
    • Utiliza la API de búsqueda Brave para obtener enlaces de documentación relevantes

Desarrollo

Instalar dependencias:

npm install

Construir el servidor:

npm run build

Para desarrollo con reconstrucción automática:

npm run watch

Instalación

Para utilizar con Claude Desktop, agregue la configuración del servidor:

En MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json En Windows: %APPDATA%/Claude/claude_desktop_config.json

{ "mcpServers": { "python-docs-server": { "command": "/path/to/python-docs-server/build/index.js" } } }

Depuración

Dado que los servidores MCP se comunican a través de stdio, la depuración puede ser complicada. Recomendamos usar el Inspector MCP , disponible como script de paquete:

npm run inspector

El Inspector proporcionará una URL para acceder a las herramientas de depuración en su navegador.

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A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Tools

Un servidor MCP que permite a los usuarios obtener documentación de Python utilizando la API de búsqueda Brave a través de consultas en lenguaje natural.

  1. Features
    1. Tools
  2. Development
    1. Installation
      1. Debugging

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