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Discover how to build an API Status Checker Agent using Postman Flows and deploy it as an MCP server. Learn how to automate API health checks across your Postman collections, flatten endpoint data, handle failed requests, and integrate AI (Claude or GPT) to generate intelligent status reports automatically. By the end, you’ll have a fully functional API monitoring agent that connects to Claude through MCP, checks all your APIs in real time, and summarizes success and failure results like an SRE. What you’ll learn - How to build a Postman Flow that checks API health automatically - Use Postman APIs and regex to extract and monitor endpoints - Separate successful and failed calls for better debugging - Add Claude or GPT to summarize results and suggest fixes - Deploy your flow as an MCP server for external integration 🔗 Access the public workspace: https://www.postman.com/postman/agent-of-the-week-public/ 📌 Timestamps 0:00 – Intro: API Status Checker Agent overview 0:12 – How it fits into an MCP server 0:52 – Postman collection + OpenAPI spec demo 1:27 – Why automate health checks 2:00 – Creating a new flow module 3:00 – Adding inputs: URL / API key / base URL 4:12 – Extracting collection UID with regex 5:01 – Fetching data from Postman API 6:12 – Debugging API keys and env variables 8:28 – Flattening endpoints & looping checks 10:48 – Handling success vs failures 15:21 – Adding AI Agent for reporting 22:02 – Deploying as MCP server & connecting to Claude 23:32 – Final test + results