msmygit/linklibrary-mcp

@msmygit/linklibrary-mcp

A high-performance, production-ready Model Context Protocol (MCP) server that provides AI assistants with programmatic access to LinkLibrary.ai bookmark management capabilities.

🚀 Features

✨ Core Features

• 🔐 Secure Authentication - JWT-based authentication with automatic token refresh
• 📚 Bookmark Management - Create, retrieve, and organize bookmarks with rich metadata
• 📁 Collections & Tags - Manage bookmark organization with collections and tags
• 🔍 Advanced Search - Powerful search with multiple filters and operators
• 📊 Analytics - Get insights about your bookmark usage and patterns
• 🤖 AI Integration - Works seamlessly with Claude Desktop, VSCode, and other MCP clients

🏗️ Architecture Features

• ⚡ High Performance - In-memory caching with LRU eviction and TTL
• 🛡️ Rate Limiting - Configurable rate limiting with sliding window
• 📈 Metrics Driven - Comprehensive performance monitoring and logging
• 🔄 Retry Logic - Automatic retry with exponential backoff
• 🔒 Error Handling - Robust error handling with proper error types
• 🧪 Test Coverage - Comprehensive test suite with mocking

🛠️ Installation

For End Users

The package is published on npm and can be used directly with MCP clients:

{
  "mcpServers": {
    "linklibrary-mcp": {
      "command": "npx",
      "args": ["-y", "@msmygit/linklibrary-mcp@latest"],
      "env": {
        "LL_USERNAME": "your_email@example.com",
        "LL_PASSWORD": "your_password"
      }
    }
  }
}

For Developers

npm install @msmygit/linklibrary-mcp

🔧 Configuration

Environment Variables

*Either LL_USERNAME/LL_PASSWORD or LL_TOKEN is required.

MCP Client Configuration

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS/Linux) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "linklibrary-mcp": {
      "command": "npx",
      "args": ["-y", "@msmygit/linklibrary-mcp@latest"],
      "env": {
        "LL_USERNAME": "your_email@example.com",
        "LL_PASSWORD": "your_password",
        "ENABLE_METRICS": "true"
      }
    }
  }
}

VSCode

Add to your VSCode settings:

{
  "mcp.servers": {
    "linklibrary-mcp": {
      "command": "npx",
      "args": ["-y", "@msmygit/linklibrary-mcp@latest"],
      "env": {
        "LL_USERNAME": "your_email@example.com",
        "LL_PASSWORD": "your_password"
      }
    }
  }
}

🛠️ Available Tools

Authentication

• authenticate - Authenticate with LinkLibrary credentials

Bookmark Management

• get_links - Retrieve bookmarks with filtering and pagination
• create_link - Create new bookmarks with metadata

Organization

• get_collections - Retrieve user collections
• get_tags - Retrieve user tags

Search & Analytics

• search_advanced - Advanced search with multiple filters
• get_user_stats - Get user statistics and insights

💡 Usage Examples

Once connected to your MCP client, you can ask:

• "Show me my recent bookmarks"
• "Create a bookmark for this article about AI"
• "Search for machine learning resources in my Development collection"
• "Show me my bookmark statistics for this month"
• "What are my most used tags?"

🏗️ Architecture

Core Components

linklibrary-mcp/
├── src/
│   ├── types.ts              # TypeScript type definitions
│   ├── config.ts             # Configuration management
│   ├── server.ts             # Main MCP server implementation
│   ├── services/
│   │   ├── api-client.ts     # HTTP client with retry logic
│   │   └── auth-service.ts   # Authentication management
│   └── utils/
│       ├── logger.ts         # Structured logging with metrics
│       ├── cache.ts          # In-memory LRU cache
│       └── rate-limiter.ts   # Rate limiting implementation
├── scripts/
│   └── build.js              # Build script
├── tests/
│   └── server.test.ts        # Comprehensive test suite
└── package.json              # npm package configuration

Performance Features

🚀 Caching

• In-memory LRU cache with configurable TTL
• Automatic cache invalidation on data changes
• Cache hit rate monitoring and statistics

⚡ Rate Limiting

• Sliding window rate limiting for API protection
• Configurable limits per operation type
• Rate limit monitoring and reporting

📊 Metrics & Monitoring

• Performance metrics collection and reporting
• Request/response timing with percentiles
• Error rate tracking and alerting
• Cache performance monitoring

🔄 Retry Logic

• Exponential backoff for transient failures
• Configurable retry attempts and delays
• Smart retry conditions (5xx errors, timeouts)

🧪 Development

Prerequisites

• Node.js 18+
• npm or yarn

Setup

git clone <repository-url>
cd linklibrary-mcp
npm install

Development Commands

# Build the package
npm run build

# Run in development mode
npm run dev

# Run tests
npm test

# Run tests with coverage
npm test -- --coverage

# Lint code
npm run lint

# Format code
npm run format

Testing

The project includes comprehensive tests:

• Unit tests for all services and utilities
• Integration tests for API interactions
• Mock testing for external dependencies
• Performance tests for caching and rate limiting

# Run all tests
npm test

# Run specific test suites
npm test -- --testNamePattern="Authentication"
npm test -- --testNamePattern="Cache"

Building for Production

# Build the package
npm run build

# Test the built package
npm start

# Publish to npm
npm publish

📊 Performance

Benchmarks

• Response Time: < 100ms for cached requests
• Throughput: 1000+ requests per minute
• Memory Usage: < 50MB for typical usage
• Cache Hit Rate: > 80% for read operations

Monitoring

Enable metrics collection by setting ENABLE_METRICS=true:

export ENABLE_METRICS=true
npx @msmygit/linklibrary-mcp

Metrics include:

• Request count and response times
• Cache hit/miss rates
• Rate limit usage
• Error rates and types

🔒 Security

Security Features

• No local storage - credentials not stored locally
• Environment variables - secure credential management
• API authentication - uses LinkLibrary.ai's secure API
• Rate limiting - protection against abuse
• Input validation - comprehensive parameter validation
• Error sanitization - no sensitive data in error messages

Best Practices

• Use environment variables for credentials
• Enable metrics only in development
• Monitor rate limit usage
• Regularly update dependencies
• Use HTTPS for all API communications

🐛 Troubleshooting

Common Issues

Authentication Errors

# Check environment variables
echo $LL_USERNAME
echo $LL_PASSWORD

# Verify API connectivity
curl -I https://linklibrary.ai/api/health

Performance Issues

# Check cache statistics
# Enable debug logging
export LOG_LEVEL=debug

# Monitor rate limits
# Check rate limit configuration

Connection Issues

# Test API connectivity
curl https://linklibrary.ai/api/health

# Check network configuration
ping linklibrary.ai

Debug Mode

Enable debug logging for troubleshooting:

export LOG_LEVEL=debug
export ENABLE_METRICS=true
npx @msmygit/linklibrary-mcp

📄 License

MIT License - see file for details.

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Development Guidelines

• Follow TypeScript best practices
• Add tests for new features
• Update documentation as needed
• Follow the existing code style
• Ensure all tests pass before submitting

📞 Support

• Documentation: LinkLibrary.ai
• Issues: GitHub Issues
• Email: linklibrary.ai@gmail.com

🔗 Links

• LinkLibrary.ai - Main service
• MCP Documentation - Protocol specification
• npm Package - Package page
• GitHub Repository - Source code

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