"Official Notion MCP Server Information" matching MCP servers:

An MCP server for the Notion API, enabling management of pages, databases, files, comments, and users with native markdown support and a full file pipeline.

A secure, open-source Model Context Protocol server for connecting AI agents and apps to Notion. It enables search, read, create, and append operations on Notion pages with audit logging and risk-based security.

Enables AI applications to manage WeChat Official Accounts through standardized tools for authentication, media uploads, draft creation, article publishing, and permanent material management.

Personal Notion MCP server with tools for task management, wrapping the Notion REST API to create, query, and update tasks in a kanban board.

Plan-bank MCP for AI agents and Notion. Agents read and write Markdown implementation plans with line + section addressing — no ad-hoc temp scripts.

Enables AI agents to search, create, and manage Notion pages and databases through the Model Context Protocol. It features file-based operations and response extraction to optimize token usage and context efficiency.

A lightweight MCP server for Notion that enables natural language management of pages, databases, and blocks through the current Notion API.

A Model Context Protocol server that enables Claude and other LLMs to interact with Notion workspaces, providing capabilities like searching, retrieving, creating and updating pages, as well as managing databases.

Gives AI agents and MCP clients token-authenticated read/write access to a Notion workspace, letting them search, create and edit pages, query databases, comment, and upload files in plain language. Writes are batched with atomic rollback and idempotency keys, pages round-trip as markdown, and it runs headless in CI or cron jobs.

Connects AI agents such as Claude, Cursor, and VS Code to Notion using a single token, enabling them to create pages, query databases, append blocks, apply templates, comment, and upload files through plain language. It also runs headless for automation and CI, exposing 47 operations behind three compact tools to keep context usage low.

Connects AI agents to a Notion workspace with token-based authentication, letting them create and edit pages, query databases, append blocks, apply templates, comment, and upload or read files through plain-language requests. Its three-tool, context-efficient design and built-in batched, idempotent operations support headless automation in CI, cron jobs, and self-hosted agents.

Gives MCP clients read/write access to Notion through a single token, letting AI agents search, create and edit pages, query databases, comment, and upload files in plain language. Works on every Notion plan and runs headless in CI, cron jobs, and self-hosted environments.

Gives AI agents and coding assistants read/write access to Notion — creating and editing pages, querying databases, appending blocks, applying templates, commenting, and uploading files — through just three context-efficient tools. It authenticates with a single token so it works headless in automation, CI, and self-hosted deployments, with batched mutations, idempotency keys, and retry handling built in.

Connects AI agents and MCP-speaking clients such as Claude, Cursor, VS Code and ChatGPT to Notion using a single token, enabling them to create and edit pages, query databases, append blocks, apply templates, comment, and upload files in plain language. It runs headless for CI and background agents, keeps context usage low by loading only three tools, and supports batched mutations with idempotency and retries.

Gives MCP clients like Claude, Cursor and Codex read/write access to Notion through a single token, letting agents search, create and edit pages, query databases, comment and upload files in plain language. It uses only three lightweight tools, supports batched idempotent writes, and runs headless in CI or self-hosted environments.

Gives AI agents and MCP-speaking clients such as Claude, Cursor, VS Code and Cline read/write access to a workspace through a single token, so they can create pages, query databases, append blocks, apply templates, comment, and upload files in plain language. It runs headless for CI, cron jobs and self-hosted deployments, keeping tool schemas and responses lightweight, with batched mutations, idempotency keys and retry handling built in.

Enables MCP clients such as Claude, Cursor, and VS Code to read and write Notion with a single token, including searching, creating and editing pages, querying databases, commenting, and uploading files.

Gives AI agents read/write access to Notion through a single token, letting them create and edit pages, query databases, append blocks, apply templates, comment, and upload files in plain language. It runs headless for automation and CI, and keeps context small by exposing three tools and returning flattened responses.

Enables Notion AI to interact with local files, execute shell commands, and delegate complex tasks to local AI agents. Provides file operations, command execution, and task delegation capabilities for local workspace management.

Enables AI agents and MCP-compatible clients to read and write Notion content—creating pages, querying databases, appending blocks, applying templates, commenting, and uploading files—using a token-based, headless setup. It exposes a compact three-tool interface that keeps context usage low while supporting batched, idempotent operations.

Gives AI agents token-authenticated read and write access to Notion, letting them create and edit pages, query databases, append blocks, apply templates, comment, and upload files in plain language. It runs headless for CI and background agents while keeping tool schemas and responses small to conserve context.

A Cloudflare Workers-based MCP server for Notion knowledge base management, enabling intelligent search, automatic recording of code snippets, and statistics analysis through natural language.

Provides tools for querying and updating Notion database rows by exact property filters, avoiding semantic search for reliable row selection.

Gives MCP clients such as Claude, Cursor, VS Code and Codex token-authenticated read/write access to a Notion workspace, so agents can search, create and edit pages, query databases, manage blocks and comments, and upload files in plain language. It is built for unattended automation with batched, idempotent writes, markdown round-tripping, retry on rate limits, and a low context footprint.

Connects MCP clients such as Claude, Cursor, VS Code and Codex to Notion with a single token so agents can search, create and edit pages, query databases, manage blocks and comments, and upload or read files in plain language. Designed for unattended agents and CI, it offers batched idempotent writes, markdown round-tripping, rate-limit retries and low context cost.

Enables AI agents and RAG pipelines to retrieve live Notion content alongside local vector and BM25 indices, fusing results with Reciprocal Rank Fusion to provide fresh, provenance-aware context.

Enables AI agents and MCP clients to read and write a Notion workspace through a single token, covering pages, databases, blocks, comments, templates, and file uploads. It keeps the model's context small by exposing three tools and fetching operation schemas on demand, while supporting batched, idempotent mutations and headless use in CI or self-hosted deployments.

Integrates Notion with Claude Code, enabling search, read, and write operations on Notion pages and databases via the Model Context Protocol.

Gives AI agents and coding assistants token-authenticated read/write access to a Notion workspace, so they can create and query pages and databases, edit blocks and markdown, apply templates, comment, and upload files. Its compact tool surface and slimmed-down responses also let it run headless in CI and background automation without consuming much model context.

Gives AI agents read/write access to a Notion workspace using a single token, so they can create and edit pages, query databases, append blocks, apply templates, manage comments, and upload or view files in plain language. It keeps context usage low by exposing just three tools and loading an operation's schema only when needed, while supporting headless use in CI, cron jobs, and self-hosted deployments.