LangChain & LlamaIndex Coding Assistant

# LangChain & LlamaIndex Coding Assistant A powerful **Coding Assistant** integrated into **Claude Code** via the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/). This assistant specializes in fetching real-time, official documentation for **LangChain**, **LlamaIndex**, and **OpenAI**, ensuring your coding workflow in Claude is powered by the absolute latest API references and guides. ## Capabilities - **Deep Documentation Search**: Instantly retrieves detailed documentation from: - 🦜️🔗 **LangChain** (`python.langchain.com/docs`) - 🦙 **LlamaIndex** (`docs.llamaindex.ai`) - 🤖 **OpenAI** (`platform.openai.com/docs`) - **Context-Aware Coding**: Provides Claude with the exact context needed to write accurate code using these rapidly evolving libraries. - **Seamless Integration**: Designed to work natively within the Claude Desktop environment. ## Prerequisites - **Python 3.11+** - **uv** (recommended) or pip - **Serper API Key**: ([Get one free at serper.dev](https://serper.dev)) ## Installation 1. **Clone the repository**: ```bash git clone <repository-url> cd documentation ``` 2. **Install dependencies**: ```bash uv sync # Or using pip: pip install -e . ``` 3. **Set up API Key**: Create a `.env` file in the project root: ```env SERPER_API_KEY=your_api_key_here ``` ## Configuration for Claude Desktop Add this to your `claude_desktop_config.json` (%APPDATA%\Claude\claude_desktop_config.json on Windows): ```json { "mcpServers": { "coding-assistant": { "command": "uv", "args": [ "--directory", "YOUR_ABSOLUTE_PATH_TO_PROJECT_DIR", "run", "main.py" ], "env": { "SERPER_API_KEY": "your_api_key_here" } } } } ``` ## Usage Once configured, ask Claude questions directly in your chat: > "How do I create a custom retrieval chain in LangChain?" > "Show me the latest LlamaIndex vector store implementation." > "What are the new parameters for OpenAI's chat completions?" The assistant will fetch the latest docs and help you write the code.