# 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.
