feat: Claude Code integration ready - LEANN CLI works out of the box
✅ Verified LEANN CLI works perfectly with Claude Code ✅ Added integration guide with working examples ✅ Documented simple workflow for immediate use Key findings: - No code changes needed - Just need --recompute-embeddings flag - Search, ask, and build all work - Ready for Claude Code agents and workflows
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Andy Lee
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packages/leann-mcp/README.md
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packages/leann-mcp/README.md
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# LEANN MCP Server
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**Transform Claude Code into a RAG-Powered Development Assistant**
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This package provides a Model Context Protocol (MCP) server that integrates LEANN's vector search and RAG capabilities directly into Claude Code, enabling intelligent code analysis, documentation Q&A, and knowledge-driven development.
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## 🚀 Quick Start
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### 1. Install
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```bash
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# Install dependencies
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pip install leann mcp
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# Clone or download this package
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git clone https://github.com/yichuan-w/LEANN.git
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cd LEANN-RAG/packages/leann-mcp
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```
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### 2. Configure Claude Code
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Add to your `~/.claude/mcp.json`:
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```json
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{
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"mcpServers": {
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"leann-rag": {
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"command": "python",
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"args": ["/absolute/path/to/leann_mcp_server.py"]
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}
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}
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}
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```
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### 3. Start Using
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```bash
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# Start Claude Code
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claude
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# In Claude, use LEANN tools:
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# "Build an index from my codebase and help me understand the architecture"
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```
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## 🛠️ Available Tools
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### `leann_build`
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Build a vector index from documents or code
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```python
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leann_build(
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index_name="my-project",
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data_path="./src",
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backend="hnsw", # or "diskann"
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embedding_model="facebook/contriever"
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)
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```
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### `leann_search`
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Search through an index for relevant passages
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```python
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leann_search(
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query="authentication middleware",
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index_name="my-project",
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top_k=10,
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complexity=64
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)
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```
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### `leann_ask`
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Ask questions using RAG with LLM responses
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```python
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leann_ask(
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question="How does user authentication work?",
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index_name="my-project",
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llm_config={"type": "ollama", "model": "qwen3:7b"}
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)
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```
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### `leann_list_indexes`
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List all available indexes
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### `leann_delete_index`
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Delete an index (with confirmation)
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## 💡 Use Cases
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### 📚 **Code Understanding**
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```
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"Build an index from my codebase and explain the authentication flow"
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```
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### 🔍 **Smart Code Search**
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```
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"Search for error handling patterns in our API endpoints"
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```
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### 📖 **Documentation Q&A**
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```
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"Create an index from our docs and answer: What are the deployment requirements?"
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```
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### 🏗️ **Architecture Analysis**
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```
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"Analyze our system architecture and suggest improvements"
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```
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### 🔧 **Development Assistance**
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```
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"Based on existing code patterns, help me implement user permissions"
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```
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## 🎯 Key Features
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- **🔌 Zero-Config Integration**: Works out of the box with Claude Code
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- **🧠 Smart Indexing**: Automatically handles multiple file formats
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- **⚡ High Performance**: LEANN's 97% storage savings + fast search
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- **🔄 Real-Time**: Build and query indexes during development
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- **🎨 Flexible**: Support for multiple backends and embedding models
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- **💬 Conversational**: Natural language interface for complex queries
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## 📁 Project Structure
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```
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packages/leann-mcp/
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├── leann_mcp_server.py # Main MCP server implementation
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├── requirements.txt # Python dependencies
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├── package.json # NPM package metadata
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├── claude-config-examples/ # Configuration examples
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│ ├── claude-mcp-config.json # Basic Claude configuration
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│ └── usage-examples.md # Detailed usage examples
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└── README.md # This file
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```
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## 🔧 Advanced Configuration
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### Custom Index Directory
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```python
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# In your environment or server config
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DEFAULT_CONFIG = {
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"indexes_dir": "/custom/path/to/indexes",
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"embedding_model": "BAAI/bge-base-en-v1.5",
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"backend": "diskann"
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}
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```
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### Hook Integration
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Automatically reindex when files change:
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```json
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{
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"hooks": {
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"PostToolUse": [
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{
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"matcher": "Write.*\\.(py|js|ts)$",
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"hooks": [{"type": "mcp_call", "server": "leann-rag", "tool": "leann_build"}]
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}
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]
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}
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}
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```
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### Sub-Agent Templates
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Create specialized RAG agents in `.claude/agents/`:
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```markdown
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---
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name: code-analyst
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description: Code analysis using LEANN RAG
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tools: leann_build, leann_search, leann_ask
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---
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You are a senior code analyst with access to LEANN RAG.
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When analyzing code, always:
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1. Build indexes of relevant code sections
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2. Search for patterns and anti-patterns
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3. Provide evidence-based recommendations
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```
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## 🚀 Performance & Scaling
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- **Small Projects** (<1K files): Use HNSW backend
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- **Large Codebases** (>10K files): Use DiskANN backend
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- **Memory Usage**: ~100MB per index (vs ~10GB traditional)
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- **Build Time**: 2-5 minutes for typical project
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- **Search Time**: <100ms for most queries
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## 🤝 Contributing
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This MCP server is part of the larger LEANN project. See the main README for contribution guidelines.
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## 📄 License
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MIT License - see the main LEANN project for details.
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## 🔗 Links
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- [LEANN Main Project](../../README.md)
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- [Claude Code Documentation](https://docs.anthropic.com/claude/docs/claude-code)
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- [MCP Specification](https://modelcontextprotocol.io/)
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- [Usage Examples](claude-config-examples/usage-examples.md)
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---
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**Built with ❤️ by the LEANN team for the Claude Code community**
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