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Seamlessly integrate Notion API with LLMs using MCP server for advanced page management and automation
@orbit-logistics/notion-mcp-server is a specialized MCP server that transforms the Notion API into tools accessible to Large Language Models (LLMs). By leveraging MCP (Model Context Protocol), it enables seamless interaction with Notion from AI applications like Claude Desktop and Cursor. This server is designed to empower developers by providing an easy-to-use interface for integrating Notion's rich feature set—such as page creation, deletion, modification, and more—into their AI workflows.
The core strength of @orbit-logistics/notion-mcp-server lies in its ability to adapt the Notion API into tools that LLMs can utilize. It supports a wide range of operations, from basic data reading to complex manipulations and updates. The server is built on a robust framework that ensures seamless integration with popular AI clients such as Claude Desktop, Continue, and Cursor. By utilizing MCP, the server abstracts Away the complexity of direct API calls, allowing developers to focus on crafting sophisticated workflows.
MCP is a universal adapter protocol for connecting AI applications to external data sources and tools. It provides a standardized framework that ensures interoperability across different AI models and systems. The core components of the protocol include:
When integrated via MCP, @orbit-logistics/notion-mcp-server facilitates direct communication between LLMs and Notion. The server handles authentication, data translation, and operational execution, making it effortless to manage interactions with Notion through AI prompts.
To begin using this MCP server with popular AI applications, follow the steps outlined below:
npx -y @orbit-logistics/notion-mcp-server -t <notion_integration_token>
Replace <notion_integration_token> with your actual Notion integration token.
claude_desktop_config.json file.{
"mcpServers": {
"notion": {
"command": "npx",
"args": [
"-y",
"@orbit-logistics/notion-mcp-server",
"-t",
"<notion_integration_token>"
]
}
}
}
Replace <notion_integration_token> with your actual Notion integration token. This entry instructs Claude Desktop to use this MCP server for interaction with Notion.
Imagine you are developing an AI-powered content management system for a business. Using @orbit-logistics/notion-mcp-server, your LLM can generate and update rich content directly within Notion pages. For instance:
# Example AI-Generated Prompt to Create a New Notion Page
import subprocess
def create_notion_page(prompt):
notion_token = "your_notion_token"
server_command = f"npx -y @orbit-logistics/notion-mcp-server -t {notion_token}"
result = subprocess.run(server_command.split(), input=prompt, encoding='str')
return result.stdout
# Usage Example
new_page_content = create_notion_page("Create a new project page with the following details...")
In another scenario, you might want to use AI to manage user feedback on your product website. With @orbit-logistics/notion-mcp-server integrated via MCP, an LLM can automate tasks such as summarizing and categorizing this feedback directly within Notion:
# Example AI-Generated Prompt for Summarizing Feedback
import subprocess
def summarize_feedback(prompt):
notion_token = "your_notion_token"
server_command = f"npx -y @orbit-logistics/notion-mcp-server -t {notion_token}"
result = subprocess.run(server_command.split(), input=prompt, encoding='str')
return result.stdout
# Usage Example
feedback_summary = summarize_feedback("Summarize user feedback on our latest product update...")
These examples illustrate how @orbit-logistics/notion-mcp-server can be integrated into AI workflows to enhance productivity and functionality.
The following table outlines the compatibility of different MCP clients with this server:
| MCP Client | Resources | Tools | Prompts | Status |
|---|---|---|---|---|
| Claude Desktop | ✅ | ✅ | ✅ | Full Support |
| Continue | ✅ | ✅ | ✅ | Full Support |
| Cursor | ❌ | ✅ | ❌ | Tools Only |
Note: Cursor currently supports integrating with this server for executing tools, but full prompt generation and resource management is not available.
To ensure secure operation, configure the server by setting environment variables:
{
"mcpServers": {
"notion": {
"command": "npx",
"args": [
"-y",
"@orbit-logistics/notion-mcp-server",
"-t",
"<notion_integration_token>"
],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
Replace "<notion_integration_token>" with your actual Notion integration token and "your-api-key" with the appropriate API key for secure operation.
<notion_integration_token>) are stored securely.What is the difference between resources and prompts in MCP integration?
Can I use @orbit-logistics/notion-mcp-server with other AI clients besides Cursor and Claude Desktop?
How does the latency impact real-time AI applications using this server?
Are there any known issues with the current implementation that I should be aware of?
How can I contribute to this project if I identify a bug or want to add features?
Contributors who wish to improve or extend the functionality of @orbit-logistics/notion-mcp-server should follow these guidelines:
Stay updated with the MCP ecosystem by visiting the official Model Context Protocol website. Additional resources available include:
By leveraging @orbit-logistics/notion-mcp-server, developers can significantly enhance the capabilities of their AI applications by integrating powerful data management features from Notion seamlessly.
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