
Configure MCP for Dataverse Part 2 | Step-by-Step Guide
Classy Powerapps
Learn how to build a fully functional AI agent in Postman Flows using public APIs from the New York Times and Hacker News. In this step-by-step guide, Sterling shows you how to connect APIs, create Postman Flow modules, integrate AI for summarization, and deploy your workflow as an MCP server. Everything is built inside a public Postman workspace that you can copy and start using right away. Whether you’re exploring AI automation, agentic workflows, or Postman’s new Flow features, this video gives you the foundation to start building your own intelligent tools powered by real-world data. What You’ll Learn: - How to connect real APIs inside Postman Flows - Creating modular flows and snapshots - Integrating an AI block to summarize API data - Deploying your flow as an MCP tool - Debugging API and timeout issues 🔗 Access the workspace: https://postman.postman.co/workspace/cc70f5e2-b3fe-4b5e-85e6-2fb562551134/collection/19819339-7065f9fa-f5ed-46bf-867f-69031821fe5f 📌 Timestamps: 0:00 - Intro: Building a Basic AI Agent 0:37 - Overview: APIs and Tools Used 1:20 - Setting Up the New York Times API 3:20 - Creating Flow Modules in Postman Flows 5:00 - Adding and Looping Through Hacker News Data 7:00 - Combining Multiple APIs in a Flow Action 8:45 - Integrating the AI Agent in Postman Flows 12:00 - Deploying as an MCP Server 16:00 - Debugging API Keys and Timeouts 20:00 - Final Demo and Next Steps
Category
Model Context Protocol (MCP)Feed
Model Context Protocol (MCP)
Featured Date
October 29, 2025Quality Rank
#5