MPC Docs Server

## MPC Docs Server This is a simple MCP (Model Context Protocol) server for retrieving information from the official documentation of Langchain, Llama Index, and OpenAI. It provides a tool that can be used by MCP-compatible applications to search and retrieve relevant documentation snippets. ## Features - **Documentation Retrieval:** Fetches content from the official documentation of Langchain, Llama Index, and OpenAI. - **MCP Compatibility:** Implements an MCP server, allowing it to be easily integrated with other MCP-compatible applications. - **Simple Tool:** Exposes a `get_docs` tool that accepts a query and library name, returning relevant documentation snippets. ## How It Works ```mermaid graph LR Client[MCP Client] -->|Calls tools| Server[MCP Server] Server -->|Searches web for docs| Serper[Serper API] Serper -->|Returns search results| Server Server -->|Returns documentation| Client ``` ## Getting Started ### Installing uv Package Manager **On MacOS/Linux:** ```bash curl -LsSf https://astral.sh/uv/install.sh | sh ``` Make sure to restart your terminal afterwards to ensure that the `uv` command gets picked up. ### Project Setup Create and initialize the project: ```bash # Create a new directory for our project uv init mcp-server cd mcp-server # Create virtual environment and activate it uv venv source .venv/bin/activate # On Windows use: .venv\Scripts\activate # Install dependencies uv add "mcp[cli]" httpx python-dotenv bs4 ``` ### Environment Variables Create a `.env` file in the root directory and add the following: ``` SERPER_API_KEY=YOUR_SERPER_API_KEY ``` You'll need a SERPER API key to use the web search functionality. You can obtain one from [Serper.dev](https://serper.dev/). We are using the Serper API to search the web for relevant documentation. ### Running the Server Start the MCP server: ```bash uv run main.py ``` The server will start and be ready to accept connections.