LangChain & LlamaIndex Coding Assistant

A powerful Coding Assistant integrated into Claude Code via the Model Context Protocol (MCP).

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.

Related MCP server: DevDocs MCP Server

Prerequisites

• Python 3.11+

• uv (recommended) or pip

• Serper API Key: (Get one free at serper.dev)

Installation

1. Clone the repository:

   git clone <repository-url>
   cd documentation

2. Install dependencies:

   uv sync
   # Or using pip:
   pip install -e .

3. Set up API Key: Create a .env file in the project root:

   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):

{
  "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.