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Notion API MCP

โ˜… 28

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Interact with Notion's API to manage todo lists, databases, and content organization.

๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅโœ“ VerifiedAccount requiredNeeds API keys

Notion API MCP

A Model Context Protocol (MCP) server that provides advanced todo list management and content organization capabilities through Notion's API. MCP enables AI models to interact with external tools and services, allowing seamless integration with Notion's powerful features.

MCP Overview

Python-based MCP server that enables AI models to interact with Notion's API, providing:

  • Todo Management: Create, update, and track tasks with rich text, due dates, priorities, and nested subtasks
  • Database Operations: Create and manage Notion databases with custom properties, filters, and views
  • Content Organization: Structure and format content with Markdown support, hierarchical lists, and block operations
  • Real-time Integration: Direct interaction with Notion's workspace, pages, and databases through clean async implementation

Full feature list โ†’

Documentation

Development

The server uses modern Python async features throughout:

  • Type-safe configuration using Pydantic models
  • Async HTTP using httpx for better performance
  • Clean MCP integration for exposing Notion capabilities
  • Proper resource cleanup and error handling

Debugging

The server includes comprehensive logging:

  • Console output for development
  • File logging when running as a service
  • Detailed error messages
  • Request/response logging at debug level

Set PYTHONPATH to include the project root when running directly:

Copy & paste โ€” that's it
PYTHONPATH=/path/to/project python -m notion_api_mcp

Future Development

Planned enhancements:

  1. Performance Optimization

    • Add request caching
    • Optimize database queries
    • Implement connection pooling
  2. Advanced Features

    • Multi-workspace support
    • Batch operations
    • Real-time updates
    • Advanced search capabilities
  3. Developer Experience

    • Interactive API documentation
    • CLI tools for common operations
    • Additional code examples
    • Performance monitoring
  4. Testing Enhancements

    • Performance benchmarks
    • Load testing
    • Additional edge cases
    • Extended integration tests