Docs Search

About

This lightweight MCP server empowers Language Models to query and fetch up-to-date documentation content dynamically from libraries like LangChain, LlamaIndex, and OpenAI. It uses a combination of web search via the Serper API and HTML parsing with BeautifulSoup to extract relevant documentation, providing LLMs with a scalable, plug-and-play interface to access real-world documentation services.

Key Features

• Web search integration for documentation retrieval
• Exposes a 'get_docs' tool for LLM agents
• Supports LangChain, LlamaIndex, and OpenAI libraries
• 0 GitHub stars
• Clean content extraction from HTML pages
• Uses the Model Context Protocol (MCP) for standardized LLM communication

Use Cases

• Providing LLMs with context from specific libraries to improve response accuracy
• Allowing LLMs to access up-to-date documentation in real-time
• Creating a modular and scalable system for LLMs to interact with external tools