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Notion MCP Server

by ramidecodes

The Notion MCP Server exposes the official Notion SDK, enabling AI models to interact with Notion workspaces. It allows AI assistants to seamlessly integrate with and manage Notion content.

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What is Notion MCP Server?

The Notion MCP Server is a Model Context Protocol (MCP) server that acts as a bridge between AI models and Notion workspaces. It provides a standardized way for AI to access and manipulate Notion data through the official Notion SDK.

How to use Notion MCP Server?

To use the server, first set up a Notion integration and share the desired pages/databases with it. Then, configure your AI assistant (like Claude Desktop or Cursor AI) to use the server, providing either the API key directly or using environment variables. The server can be started using the command line or configured via JSON. Detailed setup instructions are provided for various AI platforms.

Key features of Notion MCP Server

  • Full Notion API support through the official SDK

  • MCP compliant for seamless AI integration

  • Comprehensive tools for all Notion operations

  • Robust error handling with detailed messages

Use cases of Notion MCP Server

  • AI assistant integration with Notion

  • Automated Notion content management

  • AI-powered search and retrieval of Notion data

  • Building AI workflows that interact with Notion

FAQ from Notion MCP Server

How do I fix 'No access to resource' errors?

Make sure you've shared the specific Notion page or database with your integration.

Why is the integration not appearing in the share menu?

Try refreshing the page or restarting your browser.

What tools are available?

The server provides tools for searching, querying databases, managing pages and blocks, listing users, creating comments, and creating link previews.

How do I set up the server using environment variables?

Create a .env file with NOTION_API_KEY=your-notion-integration-key and run the server with npx @ramidecodes/mcp-server-notion@latest -y.

What if I encounter 'Failed to create client' errors?

On Windows, try using cmd /c before the npx command. On macOS/Linux, try using the full path to npx. Test the command in a terminal before adding it to your AI assistant.