Library Docs
Search and fetch documentation for popular libraries like Langchain, Llama-Index, and OpenAI using the Serper API, providing updated information for LLMs.
Install
Install and configure the MCP from https://github.com/vikramdse/docs-mcp-server now. Follow the repository's installation instructions, ask me for anything you can't complete yourself, and verify its tools load.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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