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MCP verified MIT Self-run

Notion Agent Hub

mcp-tysoncung-notion-agent-hub · by tysoncung

AI Agent Hub for Notion — orchestrate AI agents through Notion databases with human-in-the-loop approval. Built with MCP.

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Install

$ agentstack add mcp-tysoncung-notion-agent-hub

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
6mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

🤖 Notion Agent Hub

> AI Agent Hub for Notion — orchestrate AI agents through Notion databases with human-in-the-loop approval. Built with MCP.

Turn your Notion workspace into an AI command center.

[Quick Start](#-quick-start) · [Architecture](#-architecture) · [Tools](#-tools) · [Agents](#-agent-workflows) · [Setup Guide](docs/setup.md)


✨ What It Does

Notion Agent Hub is an MCP server that connects AI assistants (Claude, GPT, etc.) to your Notion workspace. It provides:

  1. 🔍 Research Agent — Search the web, compile findings, and write structured research pages to Notion
  2. 🔄 GitHub Tracker — Monitor GitHub PRs and sync their status to a Notion database
  3. 📝 Content Pipeline — Read outlines from Notion, generate drafts, and submit for human review

All tasks flow through a Notion-native task queue with human-in-the-loop approval — you stay in control.

🏗 Architecture

graph TB
    subgraph "AI Assistant"
        C[Claude / GPT / etc.]
    end

    subgraph "MCP Server — notion-agent-hub"
        direction TB
        S[Server Entry Point]

        subgraph "Tools Layer"
            NR[📖 notion-read]
            NW[✏️ notion-write]
            NQ[🔎 notion-query]
            WS[🌐 web-search]
            CR[💻 code-run]
        end

        subgraph "Agent Layer"
            RA[🔬 Research]
            GT[🔄 GitHub Tracker]
            CP[📝 Content Pipeline]
        end

        TQ[📋 Task Queue]
    end

    subgraph "Your Notion Workspace"
        TD[(Task Database)]
        RP[Research Pages]
        DP[Draft Pages]
        PR[(PR Tracker DB)]
    end

    C |MCP Protocol| S
    S --> NR & NW & NQ & WS & CR
    TQ -->|Poll| TD
    RA -->|Write| RP
    GT -->|Sync| PR
    CP -->|Write| DP
    TD -->|Human creates tasks| TQ

🚀 Quick Start

1. Clone & Install

git clone https://github.com/tysoncung/notion-agent-hub.git
cd notion-agent-hub
npm install

2. Configure

cp .env.example .env

Edit .env with your keys:

NOTION_API_KEY=ntn_your_integration_secret
NOTION_DATABASE_ID=your_task_database_id
OPENAI_API_KEY=sk-your_openai_key  # Optional

> 📖 See the [Setup Guide](docs/setup.md) for detailed instructions on creating a Notion integration and task database.

3. Build & Run

npm run build
npm start

4. Connect to Claude Desktop

Add to your Claude Desktop config:

{
  "mcpServers": {
    "notion-agent-hub": {
      "command": "node",
      "args": ["/path/to/notion-agent-hub/dist/index.js"],
      "env": {
        "NOTION_API_KEY": "ntn_your_key",
        "NOTION_DATABASE_ID": "your_db_id"
      }
    }
  }
}

🛠 Tools

notion-read

Read pages, databases, and blocks from Notion.

Input:  { page_id?: string, database_id?: string, block_id?: string }
Output: Page content with properties and child blocks

notion-write

Create or update Notion pages with rich content.

Input:  { action: "create" | "update" | "append", parent_id?, page_id?, title?, blocks? }
Output: { id, url, created/updated/appended: true }

Supported block types: paragraph, heading_1/2/3, bulleted_list_item, numbered_list_item, toggle, quote, callout, divider, code

notion-query

Query databases with filters and sorting.

Input:  { database_id, filter?, sorts?, page_size? }
Output: { results: [...pages], has_more, next_cursor }

web-search

Search the web using Brave Search (or DuckDuckGo fallback).

Input:  { query: string, count?: number }
Output: { results: [{ title, url, snippet }], source }

code-run

Execute JavaScript in a sandboxed environment (Node.js vm module).

Input:  { code: string, timeout_ms?: number }
Output: { success, result?, stdout, stderr }

🤖 Agent Workflows

🔬 Research Agent

Input: Topic + parent page ID Process: Web search → compile sources → create structured Notion page Output: Research page with sources, findings, and review checklist

🔄 GitHub Tracker

Input: GitHub repo + Notion database ID Process: Fetch PRs → compare with existing entries → create/update pages Output: Synced PR database in Notion

📝 Content Pipeline

Input: Outline page ID + parent page ID Process: Read outline → (optional research) → generate draft → create page Output: Draft page with review checklist, ready for human editing

🔄 Human-in-the-Loop

The task queue uses your Notion database as the control plane:

You create a task          →  Status: Pending
Agent picks it up          →  Status: Running
Agent writes results       →  Status: Done ✅
Something went wrong?      →  Status: Failed ❌ (with error details)

You're always in control. Tasks only run when you create them. Results are always written back to Notion for your review.

Task Database Schema

| Property | Type | Description | |----------|--------|---------------------------------| | Name | Title | Task description | | Status | Status | Pending → Running → Done/Failed | | Type | Select | research / github-tracker / content-pipeline | | Input | Text | JSON input parameters | | Output | Text | JSON results | | Error | Text | Error message (if failed) |

📸 Demo

🧪 Development

# Run tests
npm test

# Watch mode
npm run test:watch

# Type checking
npm run lint

# Build
npm run build

# Dev mode (watch + rebuild)
npm run dev

📜 License

MIT — see [LICENSE](LICENSE).


Built for the Notion MCP Challenge 🏆

Powered by Model Context Protocol

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.