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notion-interface-connector

Establish a conduit to Notion's Application Programming Interface for comprehensive document and workflow oversight. Facilitates the creation, modification, and tracking of actionable items, database administration, and content structuring. It incorporates sophisticated functionalities such as hierarchical task decomposition, native Markdown rendering, and customizable data repository layouts for peak operational efficiency.

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notion-interface-connector logo

liaoweiqiang-dao42

MIT License

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Last Updated 2026-02-19

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notiontoolsmanagenotion apibusiness toolsdao42 notion

Notion Interaction Bridge (MCP Server)

Smithery Integration Status

This Model Context Protocol (MCP) agent furnishes sophisticated capabilities for to-do list orchestration and information architecture management by leveraging the official Notion API. The MCP framework permits intelligent agents to interface reliably with external services, ensuring fluid incorporation of Notion's robust feature set into automated workflows.

Agent Capabilities Summary

A Python-based MCP node that exposes Notion's functionality to AI agents, offering: - Task Lifecycle Management: Provision for generating, updating, and monitoring assignments, complete with rich text annotation, stipulated deadlines, precedence ratings, and arbitrarily deep sub-task nesting. - Repository Manipulation: Utility for constructing and maintaining Notion data structures, including bespoke property definitions, dynamic filtering rules, and tailored presentation modes. - Information Structuring: Means to impose order on data via Markdown support, inherent hierarchy navigation, and granular block-level interventions. - Synchronous Workspace Linkage: Direct, non-blocking communication pathways to Notion spaces, individual pages, and organized databases, implemented using an efficient asynchronous paradigm.

Complete Functional Specification →

Deployment Guide

Installation via Smithery Platform

To seamlessly deploy this notion-interface-connector via Smithery for environments like Claude Desktop:

bash npx -y @smithery/cli install @liaoweiqiang-dao42/notion-api-mcp --client claude

Manual Setup Procedure

bash

Acquire and initialize repository

git clone https://github.com/yourusername/notion-api-mcp.git cd notion-api-mcp uv venv && source .venv/bin/activate

Install core components and configure environment

uv pip install -e . cp .env.integration.template .env

Populate environment variables in .env:

NOTION_API_KEY=ntn_your_integration_token_here

NOTION_PARENT_PAGE_ID=your_page_id_here # Required for auto-creation of new repos

NOTION_DATABASE_ID=your_database_id_here # For targeting existing repos

Initiate the server process

python -m notion_api_mcp

Initial Configuration Steps

Step 1: Creating a Notion Integration Token

  1. Navigate to: https://www.notion.so/my-integrations
  2. Select "New integration"
  3. Assign a descriptive name (e.g., "Productivity Bridge Agent")
  4. Designate the target workspace.
  5. Capture the resulting "Internal Integration Token"—this will serve as your NOTION_API_KEY.
  6. The token string must commence with "ntn_"

Step 2: Granting Workspace Access

You must specify either a container page (for new database instantiation) or an existing database identifier:

Path A: Parent Page for New Repositories

  1. Open the intended page within the Notion application.
  2. Access the settings menu (••• icon in the upper right).
  3. Select "Add connections" and authorize your integration.
  4. Extract the page ID from the URL path—it follows the last forward slash and precedes any query parameters.
  5. URL Example: https://notion.so/myworkspace/123456abcdef..., ID is 123456abcdef...
  6. This value populates NOTION_PARENT_PAGE_ID.

Path B: Utilizing an Existing Repository

  1. Open the target Notion database.
  2. Verify integration authorization via the ••• menu > Add connections.
  3. Retrieve the database ID from the browser URL.
  4. URL Example: https://notion.so/myworkspace/123456abcdef...?v=..., ID is 123456abcdef...
  5. This value populates NOTION_DATABASE_ID.

Step 3: Installing the MCP Server Agent

  1. Set up the isolated environment: bash cd notion-api-mcp uv venv source .venv/bin/activate # For Windows: .venv\Scripts\activate

  2. Install required packages: bash uv pip install -e .

  3. Configure runtime variables: bash cp .env.integration.template .env

  4. Modify .env to include your secrets: env NOTION_API_KEY=ntn_your_integration_token_here

Select connection method(s):

NOTION_PARENT_PAGE_ID=your_page_id_here # For creation scenarios NOTION_DATABASE_ID=your_database_id_here # For direct targeting

Step 4: Claude Desktop Integration Configuration

CRITICAL NOTE: While the local agent respects .env files, Claude Desktop mandates explicit inclusion of these settings within its configuration file to enable MCP utilization.

Update Claude Desktop's settings file (~/Library/Application Support/Claude/claude_desktop_config.json):

{ "mcpServers": { "notion-interface-connector": { "command": "/path/to/your/.venv/bin/python", "args": ["-m", "notion_api_mcp"], "env": { "NOTION_API_KEY": "ntn_your_integration_token_here",

    // Specify which ID to use:
    "NOTION_PARENT_PAGE_ID": "your_page_id_here",
    "NOTION_DATABASE_ID": "your_database_id_here"
  }
}

} }

Reminder: Even with a local .env, these variables must be present in the Claude Desktop configuration for the tool to be invoked by the AI.

Documentation Archives

  • Configuration Modalities - Comprehensive breakdown of environmental parameters and settings.
  • Feature Set - Exhaustive catalog of supported operations.
  • System Blueprint - Structural overview and command invocation blueprints.
  • Interface Specification - Detailed mapping of callable endpoints.
  • Validation Report - Status report on testing coverage and verification.
  • Dependencies List - Project library requirements and version locking.
  • Evolution Log - History of modifications and progress updates.

Development Practices

This server leverages contemporary Python asynchronous programming constructs: - Configuration validation secured via Pydantic schemas. - High-performance asynchronous HTTP client utilizing httpx. - Clean exposure of Notion primitives via the MCP standard. - Robust handling of resource allocation and exception management.

Troubleshooting

The agent incorporates layered diagnostic output: - Direct console streaming for active development sessions. - Persistent file logging when operating as a background service. - Verbose reporting for error conditions. - Debug-level capture of all communication payloads (requests/responses).

Ensure the project root is discoverable via PYTHONPATH when running standalone:

bash PYTHONPATH=/path/to/project python -m notion_api_mcp

Forward Development Roadmap

Upcoming improvements slated for future releases: 1. Efficiency Enhancements - Implementation of result set caching mechanisms. - Optimization of database retrieval queries. - Introduction of connection pooling for sustained API utilization.

  1. Advanced Functionality
  2. Support for managing credentials across multiple Notion workspaces.
  3. Bulk processing utilities for large data sets.
  4. Mechanisms for subscribing to real-time data mutations.
  5. Enhanced, complex querying capabilities.

  6. Developer Experience (DX)

  7. Provision of interactive, browser-based API documentation.
  8. Command-line utilities for routine administrative tasks.
  9. Supplementary code samples and integration recipes.
  10. Integration of performance monitoring telemetry.

  11. Testing Rigor

  12. Establishment of standardized performance benchmarks.
  13. Capacity for load testing under simulated stress.
  14. Coverage expansion for boundary and failure conditions.
  15. Augmentation of end-to-end integration tests.

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Strategic foresight planning Client relationship oversight (CRM) Staff sentiment measurement Comparative analysis (Benchmarking) Performance metric frameworks (BSC) Identification of unique organizational strengths External resource sourcing (Outsourcing) Organizational transition management Logistics and resource flow oversight (SCM) Defining organizational purpose and aspiration Customer base delineation (Market Segmentation) Comprehensive quality assurance (TQM)

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See Also

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