Enables LLMs to dynamically search and retrieve up-to-date documentation from popular AI libraries.
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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.
主要功能
01Web search integration for documentation retrieval
02Exposes a 'get_docs' tool for LLM agents
03Supports LangChain, LlamaIndex, and OpenAI libraries
040 GitHub stars
05Clean content extraction from HTML pages
06Uses the Model Context Protocol (MCP) for standardized LLM communication
使用案例
01Providing LLMs with context from specific libraries to improve response accuracy
02Allowing LLMs to access up-to-date documentation in real-time
03Creating a modular and scalable system for LLMs to interact with external tools
