Library Docs MCP Server
Searches and fetches real-time documentation for libraries like Langchain, OpenAI, and Llama-Index using the Serper API. It allows LLMs to access up-to-date technical information and bypass knowledge cut-off limitations.
README
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 APIto 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"
]
}
}
}
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