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MCP with AutoGen: Integrating AI Agents with Notion

This project demonstrates how to leverage the Model Context Protocol (MCP) to connect AutoGen agents with Notion, enabling natural language control of Notion workspace operations. You'll build a Flask API, expose it via ngrok, and create an end-to-end workflow for AI agents to create pages, search content, and manage data within Notion.

17 lectures

What You Will Learn

Understanding Model Context Protocol (MCP) and its benefits for AI-tool integration
Integrating AutoGen agents with MCP servers using McpWorkbench and StdioServerParams
Configuring and connecting to the Notion MCP server
Developing a Flask API backend for handling requests and routing tasks
Utilizing ngrok for exposing local development servers to the internet
Building AI agents capable of controlling Notion workspace operations via natural language
Mastering the end-to-end workflow from user query to Notion action

System Architecture

MCP with AutoGen: Integrating AI Agents with Notion Architecture Diagram

High-level architecture overview of the MCP with AutoGen: Integrating AI Agents with Notion .

What You'll Build

  • A complete MCP-powered system for Notion integration
  • A Flask API backend with proper routing and error handling
  • An AutoGen agent capable of performing Notion operations
  • A secure ngrok tunnel for exposing the local API
  • A functional demonstration of natural language control over Notion
MCP with AutoGen: Integrating AI Agents with Notion
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