Connect AI agents to Notion workspaces — read pages, create databases, manage tasks, and automate workflows via MCP servers.
MCP Tools for Notion tools are AI-powered software designed to help developers and teams tackle mcp tools for notion-related tasks more efficiently. These tools are typically published as open-source projects on GitHub and can be integrated into existing workflows via MCP (Model Context Protocol), Claude Skills, or standalone agent frameworks. On Agent Skills Hub, we index 10 quality-scored mcp tools for notion tools across languages including TypeScript, Go, HTML.
In 2026, the AI agent ecosystem is maturing rapidly. MCP Tools for Notion tools can significantly boost development efficiency by automating repetitive tasks, reducing human error, and providing intelligent suggestions. The top 3 tools — notion-mcp-server, mcp-notion-server, notion-cli-agent — have earned an average of 544 GitHub stars, reflecting strong community validation. 7 of the listed tools come with clear open-source licenses, ensuring freedom to use and modify.
When choosing a mcp tools for notion tool, consider these factors: 1) Community activity — GitHub stars and recent commit frequency indicate reliability; 2) Integration method — check if it supports MCP, Claude, or your preferred agent framework; 3) Language compatibility — the most common language in this list is TypeScript; 4) Quality score — Agent Skills Hub's composite score evaluates code quality, documentation completeness, and maintenance activity. Our recommendation: start with notion-mcp-server — it ranks highest in both star count and quality score.
Notion MCP server for Claude, Cursor, ChatGPT & Claude Desktop. Connect AI agents to Notion via Model Context Protocol — pages, databases, blocks, comments, files.
A Model Context Protocol server for connecting Notion to MCP-compatible clients
```json
{
"mcpServers": {
"notion": {
"command": "npx",
"args": ["-y", "@suekou/mcp-notion-server"],
"env": {
"NOTION_API_TOKEN": "your-integration-token"
}
}
}
}
```Notion CLI with AI agent support. Smart queries, Obsidian sync, batch ops, backups, validation and more.
Markdown-first Notion MCP server. ~6-7x fewer response tokens vs official Notion MCP. 43 tools.
Macro is a unified interface for email, messaging, tasks, calls, agents, docs, diagrams, CRM — linked together with shared AI memory.
Open-source database & workspace for AI agents — structured data, durable knowledge, reusable skills, runnable apps, and human review on the writes that matter. Local-first and self-hostable.
One SQL interface for 60+ tools (e.g., GitHub, Notion, Airtable). Plug into any LLM through MCP.
372 AI skills, 76 expert agents, and 867 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, and research. Installs on Claude Code, Cursor, Codex, Gemini, Copilot, and 6 other AI assistants.
A local emulator for enterprise SaaS APIs — Slack, Gmail, Google Drive, GitHub, Jira, Notion, S3 and more — with the real response shapes, pagination, auth and per-document ACLs, over a corpus you supply.
A simple MCP integration that allows Claude to read and manage a personal Notion todo list
| Tool | Stars | Language | License | Score |
|---|---|---|---|---|
| notion-mcp-server | ★ 172 | TypeScript | MIT | 65 |
| mcp-notion-server | ★ 919 | TypeScript | MIT | 74 |
| notion-cli-agent | ★ 88 | TypeScript | MIT | 45 |
| easy-notion-mcp | ★ 50 | TypeScript | MIT | 59 |
| macro | ★ 780 | TypeScript | — | 52 |
| busabase | ★ 264 | TypeScript | MIT | 61 |
| anyquery | ★ 1.8k | Go | — | 71 |
| Claude-Skills | ★ 849 | HTML | — | 78 |
| backlot | ★ 329 | Python | MIT | 64 |
| notion_mcp | ★ 208 | Python | MIT | 45 |
The top mcp tools for notion in 2026 are notion-mcp-server, mcp-notion-server, notion-cli-agent. Agent Skills Hub ranks 10 options by GitHub stars, quality score (6 dimensions including completeness, examples, and agent readiness), and recent activity. The list is rebuilt every 8 hours from live GitHub data.
notion-mcp-server (172 stars) is the most adopted choice for general mcp tools for notion workflows, written in TypeScript. mcp-notion-server (919 stars) is a strong alternative. Pick by your existing stack: match the language and runtime your team already uses to minimize integration cost. If unsure, start with notion-mcp-server — it has the deepest community and the most examples online.
Avoid pre-built mcp tools for notion when (1) your use case requires deep customization that the tool's plugin system doesn't support, (2) you have strict compliance requirements that ban third-party dependencies, (3) the tool's maintenance is inactive (last commit >6 months ago), or (4) your data volume is small enough that a 50-line custom script is cheaper than learning the tool. For most production workflows above 100 requests/day, the time savings from a maintained tool outweigh the customization loss.
MCP Tools for Notion focuses specifically on connect ai agents to notion workspaces — read pages, create databases, manage tasks, and automate workflows via mcp servers. MCP API Integration is a related but distinct category — see https://agentskillshub.top/best/mcp-api/ for those tools. The two often appear in the same agent pipeline but solve different problems: choose mcp tools for notion when your primary goal is the specific task, and mcp api integration when the workflow is broader.
For most teams, yes. notion-mcp-server has 172 stars worth of community testing, handles edge cases you haven't thought of, and ships with documentation. Build your own only when (1) your requirements are deeply non-standard, (2) you have a security/compliance reason to avoid OSS dependencies, or (3) the maintenance burden is small enough (<200 lines of code) that you'll save time long-term. The break-even point is usually around 2-3 weeks of dev time saved.
Most mcp tools for notion listed are open source under permissive licenses (MIT, Apache 2.0). A handful offer paid managed/cloud versions on top of free self-hosted core. Always check the LICENSE file on each tool's GitHub repository before commercial use — some use AGPL or non-commercial restrictions that may not fit your deployment model.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: