# LangChain Anthropic MCP Server
🚀 **MCP server that exposes LangChain + Anthropic Claude capabilities as tools** - instantly generate production-ready RAG systems, Supabase vector stores, document ingestion pipelines, and more!
Perfect for use with **Cursor AI** or any MCP client.
## 🚀 Quick Start
### Installation for Cursor
Add to your Cursor `mcp.json`:
```json
{
"mcpServers": {
"langchain-anthropic": {
"command": "npx",
"args": [
"-y",
"spencer-life/langchain-anthropic-mcp-server"
],
"env": {}
}
}
}
```
**That's it!** Restart Cursor and start using it.
## 💡 Usage
Once installed, ask your AI assistant:
```
"Use langchain-anthropic to setup a Supabase vector store"
"Use langchain-anthropic to create a RAG chain with Claude Sonnet"
"Use langchain-anthropic to generate PDF document ingestion code"
```
The AI will call the appropriate tool and return complete, production-ready code!
## 🛠️ Available Tools
- ✅ **setup_supabase_vectorstore** - Complete Supabase vector store setup
- ✅ **create_rag_chain** - Full RAG with Claude
- ✅ **generate_document_ingestion** - Document loading & chunking
- ✅ **create_conversational_rag** - RAG with conversation memory
- ✅ **setup_hybrid_search** - Vector + keyword search
- ✅ **create_multi_query_retriever** - Multi-query for better recall
- ✅ **setup_extended_thinking** - Extended thinking configuration
- ✅ **generate_package_setup** - Complete dependencies
## 📝 License
MIT License
**Built with ❤️ for the LangChain and MCP community**
