Docs Search
Enables LLMs to dynamically search and retrieve up-to-date documentation from popular AI libraries.
Enables LLMs to dynamically search and retrieve up-to-date documentation from popular AI libraries.
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.