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Glama

Library Docs MCP Server

Library Docs MCP Server

This is an MCP (Model Context Protocol) server that allows you to search and fetch documentation for popular libraries like Langchain, Llama-Index, MCP, and OpenAI using the Serper API.

Features

  • Search library documentation using a natural language query.
  • Supports Langchain, Llama-Index, MCP, and OpenAI (Update the code to add other libraries).
  • Uses the Serper API to perform site-specific searches.
  • Parses and returns the documentation using BeautifulSoup.
  • Provides updated documentation – useful for LLM models with knowledge cut-off dates.

Why Use This Server with LLMs?

Many LLM models, including those used in Claude Desktop and similar platforms, have a knowledge cut-off date and may not have access to the latest library documentation. This MCP server solves that problem by:

  • Fetching real-time documentation from official sources.
  • Providing up-to-date information for development and troubleshooting.
  • Improving the accuracy and relevance of responses when working with new library updates.

Setting Up with Claude Desktop

To use this server with Claude Desktop, update the claude_desktop_config.json file with the following configuration:

{ "mcpServers": { "docs-mcp-server": { "command": "C:\\Users\\Vikram\\.local\\bin\\uv.exe", "args": [ "run", "--with", "mcp[cli]", "mcp", "run", "F:\\My Projects\\AI\\docs-mcp-server\\server.py" ] } } }
Deploy Server
A
security – no known vulnerabilities
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license - not found
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.

An MCP server that fetches real-time documentation for popular libraries like Langchain, Llama-Index, MCP, and OpenAI, allowing LLMs to access updated library information beyond their knowledge cut-off dates.

  1. Features
    1. Why Use This Server with LLMs?
      1. Setting Up with Claude Desktop

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        curl -X GET 'https://glama.ai/api/mcp/v1/servers/vikramdse/docs-mcp-server'

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