notion-mcp-server MCP Server
awkoy/notion-mcp-server
[](https://agentrank-ai.com/tool/awkoy--notion-mcp-server/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Notion MCP server for Claude, Cursor, ChatGPT & Claude Desktop. Connect AI agents to Notion via Model Context Protocol — pages, databases, blocks, comments, files.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
awkoy/notion-mcp-server is a TypeScript MCP server licensed under MIT. Notion MCP server for Claude, Cursor, ChatGPT & Claude Desktop. Connect AI agents to Notion via Model Context Protocol — pages, databases, blocks, comments, files. Topics: mcp, mcp-server, notion, notion-ai, notion-mcp, ai-agent, anthropic, chatgpt, claude, claude-desktop, cursor, llm, model-context-protocol, notion-api, typescript.
Ranked #953 out of 24846 indexed tools.
In the top 4% of all indexed tools.
Ecosystem
Score Breakdown
175 stars → growing community
Last commit 22d ago → recently updated
8/11 issues closed → decent issue management
9 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# Notion MCP Server — Connect Claude, Cursor & VS Code to Notion Give your AI read/write access to Notion with one token and one command. Claude Code, Claude Desktop, Cursor, VS Code, Cline, Zed, anything that speaks MCP: it can create pages, query databases, append blocks, apply templates, comment and upload files, in plain language. Notion ships its own MCP server. Where this one differs: - **It authenticates with a token, so it runs headless.** Notion's hosted MCP is OAuth-only and someone has to click "Authorize". This one works in CI, cron jobs, background agents and self-hosted deployments. - **It doesn't spend your context on tool schemas.** The official open-source server loads 24 endpoint schemas into the model's context at connection: 17,163 tokens, re-sent with every request for the rest of the session. This one loads three tools, 1,005 tokens — 94% less, 17× smaller — and fetches an operation's schema only when a task actually touches it. - **It doesn't spend your contexRead full README on GitHub →
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