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MCP server · AI

Claude Context Local

🔒 Privacy-first MCP server for Claude using PostgreSQL + Ollama. Local alternative to cloud-based code context with full data sovereignty. No API keys, no external calls, 100% local.

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Scored 3 months ago · breakdown

About Claude Context Local

Claude Context Local is an MCP server published by MikeO-AI in the AI category: 🔒 Privacy-first MCP server for Claude using PostgreSQL + Ollama. Local alternative to cloud-based code context with full data sovereignty. No API keys, no external calls, 100% local. It has been installed 0 times through Conduid.

The repository has 10 stars and 6 forks, with the last commit 11 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx claude-context-local

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README

claude-context-local

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Project Philosophy: This project maintains the full history of the original claude-context for transparency and attribution, but represents a divergent branch focused on privacy and local operation. While the original continues toward cloud integration, we're committed to a 100% local, privacy-first approach. Both projects serve different needs in the ecosystem.

A local-first implementation of claude-context MCP server that replaces cloud dependencies with local alternatives for complete privacy and zero API costs.

🚀 Key Features

  • 100% Local: No external API calls, all processing happens on your machine
  • PostgreSQL + pgvector: Replaces Milvus/Zilliz Cloud with local PostgreSQL
  • Ollama Embeddings: Uses free, open-source models instead of OpenAI
  • Privacy-First: Your code never leaves your machine
  • Zero API Costs: No subscription fees or usage charges
  • Multimodal Support: Nomic embedding model supports text and images

⚡ Quick Start

Prerequisites

  1. Install PostgreSQL and pgvector:
brew install postgresql@14 pgvector
brew services start postgresql@14
  1. Install and configure Ollama:
brew install ollama
ollama serve  # Start in a separate terminal
ollama pull DC1LEX/nomic-embed-text-v1.5-multimodal
  1. Setup database:
psql -U postgres -c "CREATE DATABASE embeddings;"
psql -U postgres -d embeddings -c "CREATE EXTENSION IF NOT EXISTS vector;"

Installation

# Clone the repository
git clone https://github.com/MikeO-AI/claude-context-local.git
cd claude-context-local

# Install dependencies
pnpm install

# Build the project
pnpm build

# Test the integration
node test-postgres.js

Running the MCP Server

Method 1: Direct Installation (Recommended)

# First, validate your setup
node validate-mcp-setup.js

# Start with default settings (PostgreSQL on localhost, Ollama on localhost:11434)
node packages/mcp/dist/index-postgres.js

# Or with custom configuration
POSTGRES_HOST=your-db POSTGRES_PASSWORD=your-pass node packages/mcp/dist/index-postgres.js

Method 2: NPM Package

Install globally from npm:

npm install -g @mikeo-ai/claude-context-local-mcp
claude-context-local-mcp

# Or use with npx (recommended)
npx @mikeo-ai/claude-context-local-mcp@latest

Method 3: Claude MCP Add Command

claude mcp add claude-context-local \
  -e EMBEDDING_PROVIDER=Ollama \
  -e POSTGRES_DATABASE=embeddings \
  -- npx @mikeo-ai/claude-context-local-mcp@latest

For detailed setup instructions, see MCP-SETUP-GUIDE.md

⚙️ Configuration

Claude Code Integration

Add to your Claude Code config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "claude-context-local": {
      "command": "node",
      "args": ["/absolute/path/to/claude-context-local/packages/mcp/dist/index-postgres.js"],
      "env": {
        "EMBEDDING_PROVIDER": "Ollama",
        "OLLAMA_MODEL": "DC1LEX/nomic-embed-text-v1.5-multimodal",
        "OLLAMA_HOST": "http://localhost:11434",
        "POSTGRES_HOST": "localhost",
        "POSTGRES_PORT": "5432",
        "POSTGRES_DATABASE": "embeddings",
        "POSTGRES_USER": "postgres",
        "POSTGRES_PASSWORD": "postgres"
      }
    }
  }
}

Environment Variables

Variable Default Description
EMBEDDING_PROVIDER Ollama Embedding provider (Ollama recommended)
OLLAMA_MODEL DC1LEX/nomic-embed-text-v1.5-multimodal Ollama model to use
OLLAMA_HOST http://localhost:11434 Ollama server URL
POSTGRES_HOST localhost PostgreSQL host
POSTGRES_PORT 5432 PostgreSQL port
POSTGRES_DATABASE embeddings Database name
POSTGRES_USER postgres Database user
POSTGRES_PASSWORD postgres Database password

🐳 Docker Setup (Optional)

For easier deployment, use Docker Compose:

# docker-compose.yml
version: '3.8'
services:
  postgres:
    image: pgvector/pgvector:pg16
    environment:
      POSTGRES_DB: embeddings
      POSTGRES_USER: postgres
      POSTGRES_PASSWORD: postgres
    ports:
      - "5432:5432"
    volumes:
      - postgres_data:/var/lib/postgresql/data

  ollama:
    image: ollama/ollama
    ports:
      - "11434:11434"
    volumes:
      - ollama_data:/root/.ollama
    command: serve

volumes:
  postgres_data:
  ollama_data:

Then:

docker-compose up -d
docker exec -it claude-context-local_ollama_1 ollama pull DC1LEX/nomic-embed-text-v1.5-multimodal

🔧 MCP Tools

add_codebase

Index a codebase directory for semantic search:

add_codebase({
  path: "/path/to/your/project"
})

search_codebase

Search through indexed codebases:

search_codebase({
  query: "authentication logic",
  path: "/path/to/your/project",
  limit: 10
})

📊 Comparison with Original

Feature Original (Milvus) Local (PostgreSQL)
Vector Database Milvus/Zilliz Cloud PostgreSQL + pgvector
Embeddings OpenAI/VoyageAI Ollama (local)
Privacy Data sent to cloud 100% local
Cost API usage fees Free
Setup Cloud account required Local installation
Internet Required Not required
Dimensions Variable 768 (configurable)

🙏 Credits & Attribution

This project is based on claude-context by Zilliz, licensed under the MIT License.

What's Changed

  • Replaced Milvus/Zilliz Cloud with PostgreSQL + pgvector
  • Replaced OpenAI embeddings with Ollama
  • Added multimodal embedding support
  • Removed all external API dependencies
  • Added comprehensive PostgreSQL implementation

Original Contributors

📚 Documentation

🔍 Troubleshooting

Common Issues

  1. pgvector not found

    brew install pgvector
    psql -U postgres -d embeddings -c "CREATE EXTENSION vector;"
    
  2. Ollama connection failed

    ollama serve  # Start Ollama service
    
  3. Model not found

    ollama pull DC1LEX/nomic-embed-text-v1.5-multimodal
    

🗺️ Roadmap

  • SQLite support for simpler setup
  • Additional Ollama model support
  • Web UI for codebase management
  • Incremental indexing
  • Docker one-click deployment
  • Support for more local embedding models

🤝 Contributing

Contributions are welcome! This is a community project aimed at providing a fully local alternative to cloud-based code context solutions.

How to Contribute

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Submit a pull request

Areas for Contribution

  • Support for additional databases (SQLite, DuckDB)
  • More embedding model integrations
  • Performance optimizations
  • Documentation improvements
  • Testing and bug fixes

📄 License

MIT License - see LICENSE for details.

This project includes code from claude-context by Zilliz, also licensed under MIT.

⭐ Star History

If you find this project useful, please consider giving it a star!


Built with ❤️ for the community by MikeO-AI

README mirrored from the source repository 3 months ago. The original is authoritative.

Questions

About Claude Context Local

How do I install Claude Context Local?

Run npx claude-context-local, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Claude Context Local safe to use with an AI agent?

Its trust score is 59 out of 100 (fair). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Claude Context Local still maintained?

The last commit was 11 months ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.