Notion MCP Server

The Notion MCP server is a lightweight bridge that lets AI assistants such as Claude interact directly with a personal or team‑level Notion workspace. It solves the common pain point of having to write custom scripts or use third‑party integrations every time an assistant needs to read, create, or update tasks in Notion. By exposing a small set of well‑defined functions—, , and —the server turns a Notion database or page into an AI‑friendly API that follows the Model Context Protocol specifications. This allows developers to plug the server into any MCP‑compatible client with minimal configuration, enabling natural language queries like “Show me all my pending tasks” to be translated into precise API calls.

For developers building AI‑augmented productivity tools, the server offers a clear value proposition. It eliminates the need to manage OAuth flows or handle pagination manually; the MCP server handles authentication with a single integration token and abstracts away Notion’s complex request structure. The server is written in Python 3.11+, making it easy to integrate into existing Python ecosystems or to run on lightweight containers. Because the server is open source and MIT‑licensed, teams can fork it to extend functionality—such as adding task categorization or deadline tracking—without reinventing the wheel.

Key capabilities are presented in plain language:

• Task retrieval – pulls the current state of a designated Notion page or database, returning tasks in an AI‑friendly format.
• Task creation – accepts a simple text description and inserts it as a new row in the Notion table.
• Task completion – marks a specific task as done by updating its status property.
  These functions are stateless and idempotent, making them reliable for iterative AI conversations where the assistant may need to re‑query or modify tasks multiple times.

Real‑world use cases abound: a project manager can ask Claude to list all overdue items, add new action points from a meeting transcript, and mark tasks complete after review—all within the same chat session. A personal productivity user can keep a “Daily To‑Do” page in Notion and let the assistant auto‑populate it from email or calendar reminders. In enterprise settings, teams can maintain a shared Notion board that the AI continually syncs with, ensuring everyone stays on the same page without manual updates.

Integration into existing workflows is straightforward. Once the MCP server is running, any MCP‑enabled client can reference it via a simple configuration entry. The assistant then calls the exposed functions as part of its reasoning process, treating Notion data like any other context source. This tight coupling means developers can build richer conversational experiences—such as auto‑generating meeting summaries that include task lists or generating progress reports—without leaving the AI’s natural language interface.