Simplify Notion API integration with Markdown rendering for efficient AI processing and seamless external tool interaction
The Simple Notion MCP Server acts as an essential bridge between AI assistants and Notion, the popular workspace management tool by Notion Inc. This server leverages Model Context Protocol (MCP) to convert Notion pages into a clean, readable Markdown format, making it easier for advanced language models (LLMs), such as Claude Desktop, Continue, Cursor, and other MCP-compatible applications, to process and understand complex content.
Unlike the official Notion MCP server which returns large JSON blobs, this server employs Markdown rendering, significantly enhancing the efficiency and comprehensibility of information for AI systems. This transformation enables AI applications to handle rich-text elements like bold, italic, strikethrough, code blocks, and more, providing a richer user experience.
The Simple Notion MCP Server offers several key features that enhance the functionality and user experience of AI applications through MCP:
Converts Notion pages into clean Markdown format. This makes it easier for LLMs to process and understand the content, reducing complexity and improving performance.
Preserves rich text formatting such as bold, italic, strikethrough, and code elements in the rendered output, ensuring that the AI applications can display Notion pages with their original styling.
This server is built on top of MCP, allowing seamless integration with various AI assistant tools. It uses the Notion API to fetch data from Notion databases and convert it into a structured yet human-readable format via Markdown. The architecture is designed to handle recursive fetching of child blocks and ensure that the structure and formatting are maintained during the rendering process.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
graph TD
A[Notion Pages] --> B[API Token] --> C[MCP Server] --> D[Markdown Output]
style A fill:#fbf2c7
style B fill:#d4d4d4
style C fill:#f3e5f5
style D fill:#e8f5e8
To set up the Simple Notion MCP Server, follow these steps:
Navigate to the Notion integration page at https://www.notion.so/my-integrations and create an integration.
Set your Notion API token as an environment variable:
export NOTION_TOKEN=your-notion-api-token
Alternatively, you can place it in a .env
file:
NOTION_TOKEN=your-notion-api-token
Make sure to share the desired Notion pages with your integration.
Run the following command to install and start the server:
npm install && npm run start
This MCP Server is ideal for AI applications that need to process, analyze, or display complex Notion pages. Below are two real-world use cases highlighting its value:
Using the Simple Notion MCP Server with Claude Desktop, you can fetch detailed reports from a Notion page, convert them into Markdown, and generate summaries for further processing.
For organizations using Notion to manage their knowledge bases, this server allows seamless integration with AI tools. You can use the server in tandem with a tool like Claude or Continue to automatically update knowledge bases, ensuring that all team members have access to up-to-date information.
The Simple Notion MCP Server is designed to work seamlessly with various MCP clients such as Claude Desktop, Continue, Cursor, and others. Below is the compatibility matrix detailing server support:
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Partial Support (Tools Only) |
You can integrate the Simple Notion MCP Server with Claude Desktop by adding the following configuration to your settings:
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "notion_token",
"description": "Notion API Token",
"password": true
}
],
"servers": {
"notion": {
"command": "npx",
"args": ["@larryhudson/simple-notion-mcp-server"],
"env": {
"NOTION_TOKEN": "${input:notion_token}"
}
}
}
}
}
The performance and compatibility matrix outline how well the Simple Notion MCP Server integrates with various AI applications. This comprehensive matrix ensures that you understand where this server excels:
By aligning your specific use case with the appropriate client, you can optimize the performance of your AI applications.
You can customize the environment variables to adjust server behavior:
export NOTION_TOKEN=your-notion-api-token
Alternatively, place it in a .env
file for better security and management.
Ensure that your API tokens are well-protected. Avoid hardcoding sensitive information directly into scripts or code files. Use environment variables instead.
Can I use this server with Continue applications?
How can I update my knowledge base using this server?
What if I need to integrate with multiple Notion databases simultaneously?
Is there any way to improve image handling in this server?
Sharp
or ImageMagick
if necessary.How does the server handle pagination and recursive blocks while fetching data?
Contributions to this project are welcome! To get started:
Fork the Repository: Go to GitHub and fork the repository.
Clone Locally: Clone your forked version locally using git clone
.
Contribute Code: Work on improvements, bug fixes, or new features as per the project’s issue tracker.
Run Tests and Linting: Use the provided scripts to run tests and ensure code quality:
npm test
Join the Model Context Protocol community for more resources, updates, and discussions about MCP integrations:
By leveraging the Simple Notion MCP Server, developers can enhance their AI applications' capabilities by integrating with the rich content management features of Notion. This solution ensures that data is easily accessible and comprehensible for LLMs, fostering advancements in natural language processing and user-centric design.
This comprehensive technical documentation covers all necessary aspects of the Simple Notion MCP Server, providing developers with a deep understanding of its features, capabilities, and integration potential within the broader MCP ecosystem.
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