MCP Server for Notion
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- FlicenseNot gradedqualityDmaintenanceConnects AI assistants to Notion workspaces, allowing users to search, create, and manage pages or databases through natural language conversations. It supports complex database querying, content updates, and workspace organization via the Model Context Protocol.-
- AlicenseNot gradedqualityAmaintenanceGives AI agents read/write access to Notion through the Model Context Protocol, enabling them to create and edit pages, query databases, append blocks, apply templates, comment, and upload files in plain language. It authenticates with a single token so it can run headless in CI and background agents, while loading only a few tool schemas and returning compact responses to keep context usage low.4,674 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to interact with Notion workspaces through the Notion API, allowing them to search, read, create, and comment on pages and databases with optimized token consumption.MIT
- AlicenseBqualityDmaintenanceEnables AI agents to interact with Notion workspaces through the Notion API. Supports reading, writing, commenting, and managing Notion pages and databases with optimized token consumption for AI agents.19207,493 npmMIT
- AlicenseNot gradedqualityAmaintenanceGives AI agents read/write access to Notion through a token-authenticated Model Context Protocol server, so they can create pages, query databases, append blocks, apply templates, comment, and upload files in plain language. It packs 47 operations behind three lightweight tools and runs headless for agents, automation, CI, and self-hosted deployments.4,674 npmMIT
- AlicenseNot gradedqualityDmaintenanceIntegrates Notion with Claude Code, enabling search, read, and write operations on Notion pages and databases via the Model Context Protocol.4,674 npmMIT
TDQS
Scored across 13 tools
Each tool targets a distinct Notion resource and action: pages, databases, blocks, search, and query operations are clearly separated. Tools like notion_search and notion_query_database work differently enough that an agent should not confuse them.
All tools follow a consistent notion_verb_noun pattern (e.g., notion_retrieve_page, notion_create_database, notion_update_block, notion_append_block_children). The verb and resource order is uniform across the entire tool set, making the naming predictable.
Thirteen tools is well-scoped for Notion's content model, covering pages, databases, blocks, child-block operations, and search. Each tool covers a meaningful operation without excessive fragmentation or overlap.
The tool set provides strong coverage of Notion's core workflows: creating, retrieving, updating, querying, and searching pages, databases, and blocks. Minor gaps exist such as no explicit delete-database or page-deletion tool, though page archiving can be handled via update_page and block deletion is supported.