awkoy_notion-mcp-server

awkoy_notion-mcp-server

3.2

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Notion MCP Server is a Model Context Protocol server that facilitates AI interactions with Notion's API, enabling natural language operations on Notion content.

The Notion MCP Server is a robust implementation of the Model Context Protocol (MCP) designed to enable seamless interaction between AI assistants and Notion's API. This server is production-ready and provides a comprehensive suite of tools and endpoints for reading, creating, and modifying Notion content through natural language commands. It supports a wide range of operations, including page and block management, database interactions, and user management. The server is built using TypeScript and leverages the official Notion API client, ensuring compatibility and reliability. With its universal MCP compatibility, the Notion MCP Server can be integrated with various MCP clients such as Cursor, Claude Desktop, Cline, and Zed, making it a versatile solution for enhancing productivity and collaboration within Notion workspaces.

Features

  • Notion Integration: Interact with Notion databases, pages, and blocks.
  • Universal MCP Compatibility: Works with all MCP clients including Cursor, Claude Desktop, Cline, and Zed.
  • Data Retrieval: Fetch information from Notion pages, blocks, and databases.
  • Content Creation: Create and update Notion pages and blocks.
  • Comments Management: Get, create, and reply to comments on pages and discussions.

Tools

  1. notion_pages

    A comprehensive tool for page operations including creating, updating, archiving, restoring, and searching pages.

  2. notion_blocks

    A complete toolkit for block operations including retrieving, appending, updating, and deleting blocks.

  3. notion_database

    A powerful tool for database interactions including creating, querying, and updating databases.

  4. notion_comments

    A tool for managing comments on Notion content, including retrieving, adding, and replying to comments.

  5. notion_users

    A tool for accessing user information, including listing users and retrieving user details.