MPC Docs Server

from mcp.server.fastmcp import FastMCP from dotenv import load_dotenv from web_context import search_web, fetch_url load_dotenv() mcp = FastMCP("docs") USER_AGENT = "docs-app/1.0" SERPER_URL="https://google.serper.dev/search" docs_urls = { "langchain": "python.langchain.com/docs", "llama-index": "docs.llamaindex.ai/en/stable", "openai": "platform.openai.com/docs", } @mcp.tool() async def get_docs(query: str, library: str): """ Search the latest docs for a given query and library. Supports langchain, openai, and llama-index. Args: query: The query to search for (e.g. "Chroma DB") library: The library to search in (e.g. "langchain") Returns: Text from the docs """ if library not in docs_urls: raise ValueError(f"Library {library} not supported by this tool") query = f"site:{docs_urls[library]} {query}" results = await search_web(query) if len(results["organic"]) == 0: return "No results found" text = "" for result in results["organic"]: text += await fetch_url(result["link"]) return text if __name__ == "__main__": mcp.run(transport="stdio")