vespo92/chromadblocal-mcp-server

ChromaDB MCP Server 🧠

A Model Context Protocol (MCP) server that gives AI assistants persistent memory through ChromaDB vector storage. Build your own knowledge base that grows with every interaction!

✨ Features

• Persistent AI Memory: Your AI assistant remembers past conversations and solutions
• Vector Search: Find similar code patterns, configurations, and documentation instantly
• Easy Integration: Works seamlessly with Claude Desktop and other MCP-compatible clients
• Home AI Ready: Pre-configured collections for personal projects and automation
• Local First: Run everything on your own hardware, no cloud dependencies

🚀 Quick Start

Prerequisites

• Bun (JavaScript runtime)
• Docker (for ChromaDB)
• Claude Desktop (or any MCP client)

Installation

1. Clone the repository

   git clone https://github.com//vespo92/chromadblocal-mcp-server.git
   cd chromadb-mcp-server
   

2. Install dependencies

   bun install
   

3. Start ChromaDB

   docker run -d \
     --name chromadb-local \
     -p 8001:8000 \
     -v ~/chromadb-data:/chroma/chroma \
     -e IS_PERSISTENT=TRUE \
     chromadb/chroma:latest
   

4. Initialize collections

   bun run setup
   

5. Configure Claude Desktop

   Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

   {
     "mcpServers": {
       "chromadb-context": {
         "command": "bun",
         "args": ["run", "/path/to/chromadb-mcp-server/index.js"],
         "env": {
           "CHROMADB_URL": "http://localhost:8001"
         }
       }
     }
   }
   

6. Restart Claude Desktop and start building your knowledge base!

💬 Usage Examples

Once configured, interact naturally with your AI:

Store Knowledge

• "Store this Docker configuration in ChromaDB for future reference"
• "Save this React component pattern with tags: hooks, authentication"
• "Remember this solution for GPU passthrough issues"

Retrieve Information

• "Search ChromaDB for Python async examples"
• "Find similar component patterns to this one"
• "What solutions do we have for Docker networking issues?"

Build Context

• "Add this API documentation to the project_docs collection"
• "Store these test patterns for our testing suite"

📚 Available Collections

🛠️ MCP Tools

search_context

Search for relevant information across collections

Parameters:
- query: Search query
- collection: (optional) Specific collection to search
- limit: (optional) Number of results

store_context

Store new information with metadata

Parameters:
- content: The content to store
- metadata: Tags, categories, descriptions
- collection: Target collection

list_collections

List all available collections and their metadata

find_similar_patterns

Find code patterns similar to provided example

🔧 Configuration

Environment Variables

CHROMADB_URL=http://localhost:8001  # ChromaDB server URL

Custom Collections

Add new collections in setup-home-collections.js:

await createCollection('ml_experiments', {
  description: 'Machine learning experiments and results'
});

📦 Project Structure

chromadb-mcp-server/
├── index.js                    # MCP server implementation
├── setup-home-collections.js   # Collection initialization
├── test-chromadb.js           # Connection test script
├── test-mcp.js                # MCP functionality test
├── HOME-AI-SETUP.md           # Detailed setup guide
├── package.json               # Project dependencies
└── README.md                  # This file

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

See for more details.

📄 License

This project is licensed under the MIT License - see the file for details.

🙏 Acknowledgments

• Anthropic for the MCP specification
• Chroma for the excellent vector database
• The open-source community for inspiration and support

🚀 What's Next?

• Cloud sync capabilities
• Multi-user support
• Web UI for collection management
• Export/import collections
• Integration with more AI assistants

Built with ❤️ for the Home AI Community