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Notion MCP Server

MCP Server

Seamless Notion integration for LLMs

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Updated 12 days ago

About

A Model Context Protocol server that lets language models search, read, create, update, and manage Notion pages and databases using a standardized API. It supports rich markdown, block operations, comments, and advanced database queries.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Notion MCP Server – Overview

The Notion MCP server bridges the gap between conversational AI assistants and the rich, collaborative workspace of Notion. By exposing a set of well‑defined tools that cover page and database operations, it lets language models read, write, and modify content in a Notion workspace without requiring custom integrations or manual API calls. This eliminates the friction developers face when they want to automate note‑taking, task management, or knowledge base updates directly from an AI assistant.

At its core, the server implements a suite of CRUD‑style operations: searching pages by keyword, creating new pages with markdown content, reading page bodies in a clean format, updating existing pages, and managing comments. It also provides fine‑grained block‑level control—allowing models to update or delete individual blocks within a page. These capabilities are exposed through the MCP tool schema, meaning any client that understands MCP (e.g., Claude Desktop) can invoke them with a simple JSON payload. For developers, this translates into rapid prototyping of workflows that involve dynamic content generation or real‑time collaboration.

Markdown handling is a standout feature. The server preserves heading hierarchy (H1–H3), supports syntax‑highlighted code blocks, interactive todo lists with checkbox states, multi‑line blockquotes, horizontal dividers, images with captions, and nested bullet points. This ensures that content created or edited by the AI retains the visual richness expected in Notion, making generated pages immediately usable without further formatting.

Database operations extend the server’s utility into structured data manipulation. Developers can create new databases, add or update items, and query with complex filters and sorting rules. The server accommodates a wide array of property types—titles, rich text, numbers, select/multi‑select options, dates, checkboxes, and more—mirroring Notion’s native schema. This opens possibilities for AI‑driven data entry, report generation, or automated status tracking across projects.

In practice, the Notion MCP server is ideal for scenarios such as: a meeting assistant that logs minutes into a shared page, a project manager bot that updates task statuses in a database, or a knowledge‑base curator that pulls relevant pages and synthesizes summaries. By integrating seamlessly into existing MCP workflows, it allows developers to focus on business logic while the server handles authentication, rate limiting, and data serialization. The result is a powerful, low‑overhead bridge that empowers AI assistants to become true collaborators within the Notion ecosystem.