AI coding agents are getting good at reading docs and writing integration code. But API integrations still fail in the workflow. create resource -> confirm state -> receive webhook -> fetch final state -> handle failure Enter fullscreen mode Exit fullscreen mode That is why I have been building FetchSandbox MCP: runnable API integration workflows from your favorite IDE. The goal is simple. If you are already working in Claude, Cursor, Codex, Continue, or another MCP-compatible IDE, your agent should be able to run the API workflow while it is helping you integrate it. Not just read the docs. Run the workflow. Inspect the response. Check the state transition. Verify the webhook behavior. Then use that proof while changing your app. Here is the raw demo: https://www.youtube.com/watch?v=Iafkt01GAbA What you configure FetchSandbox MCP runs as a local MCP server using npx .…