get_docs
Search documentation for Langchain, Llama-Index, MCP, and OpenAI libraries to find specific information using queries.
Instructions
Search the docs for a given query and library.
Supports langchain, llama-index, mcp, and openai.
Args:
query: The query to search for (e.g. "Chroma DB")
library: The library to search in (e.g. "langchain")
Returns:
Text from the docsInput Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| library | Yes |
Implementation Reference
- server.py:56-82 (handler)The main handler function for the 'get_docs' MCP tool. Decorated with @mcp.tool() for registration. Takes a query and library, constructs a site-specific search query, uses Serper API to find relevant docs pages, fetches their content using BeautifulSoup, and returns the concatenated text.
@mcp.tool() async def get_docs(query: str, library: str): """ Search the docs for a given query and library. Supports langchain, llama-index, mcp, and openai. 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}" # Serper search format for searching in specified site 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 - server.py:25-42 (helper)Helper function to perform web search using Serper API for the given query, returning search results or empty on timeout.
async def search_web(query: str) -> dict | None: payload = json.dumps({"q": query, "num": 2}) headers = { "X-API-KEY": os.getenv("SERPER_API_KEY"), "Content-Type": "application/json" } async with httpx.AsyncClient() as client: try: response = await client.post( SERPER_URL, headers=headers, data=payload, timeout=30.0 ) response.raise_for_status() return response.json() except httpx.TimeoutException: return {"organic": []} - server.py:45-54 (helper)Helper function to fetch content from a URL, parse with BeautifulSoup to extract text, handling timeouts.
async def fetch_url(url: str): async with httpx.AsyncClient() as client: try: response = await client.get(url, timeout=30.0) soup = BeautifulSoup(response.text, "html.parser") text = soup.get_text() return text except httpx.TimeoutException: return "Timeout error" - server.py:17-22 (helper)Dictionary mapping supported libraries to their documentation base URLs, used to construct site-specific search queries.
docs_urls = { "langchain": "python.langchain.com/docs", "llama-index": "docs.llamaindex.ai/en/stable", "mcp": "modelcontextprotocol.io", "openai": "platform.openai.com/docs" } - server.py:58-68 (schema)Tool schema and description provided in the docstring, defining input parameters (query: str, library: str) and output (text from docs).
""" Search the docs for a given query and library. Supports langchain, llama-index, mcp, and openai. 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 """