Model your API as a graph once. Long-chain integration tests, layer × environment matrices, CI-ready runs, and an MCP server — all from the same YAML.
Model your API as a graph once. Get long-chain integration tests, layer × environment matrices, CI-ready runs, and an MCP server for AI coding tools — all from the same YAML.
With aat and aat-sandbox installed and on your PATH, the offline shop example runs with no signup and no network:
Nobody wired the data by hand: the graph says where each input comes from, and the plan only lists steps. The shop README walks through what each command shows.
- Test your own API's real flows in CI. An order through cart, checkout, payment, shipping, and refund, cleaned up afterwards, with exit codes and JUnit for the pipeline: the shop and CI/CD. - Test the third-party APIs you depend on. Clone a project, export your test key, run it: Stripe, Shippo, and Duffel. Each plan asserts the exact status and error body, so a rerun says what changed. - Run one plan across every configuration. Regions, card brands, parcel sizes: layers multiply plans into a matrix, and permutations that would send the same requests are skipped: Matrix testing. - Give integrators a kit their AI tools can code against. The graph your tests keep true, served over MCP; a working client has taken a single prompt: Share your API with integrators. - Send a run instead of a screenshot. One file with every request, response, resolved value, retry, and assertion, opened in the same viewer by whoever you send it to: Archives. - Point one call at your laptop. Route a single operation to a local build, with the environment's auth intact, without editing the project: Local development.
From the project README.
Add the radar badge to your README — it shows your project was picked up by MCP Radar and links to this page:
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Prices your Claude Code and Codex sessions from the transcripts on disk, shows what each agent cost over any period, and tells you in plain English what would have been cheaper. CLI, Browser UI and MC
Smitner-Studio/facetRender agent-written Markdown as a live local page, and send the human's click back to the agent as typed data. Human-in-the-loop approval gates for coding agents.
Quality-Max/9lives-runnerStandalone Go runner and @9l/playwright SDK for bounded Playwright execution with validated receipts.
okf-memory/okf-agent-memoryGit-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zer
vshulcz/deja-vuYour agents already solved this. deja finds it — retroactive search and MCP recall over the session logs your coding agents already wrote. Cross-agent, SSH-portable, one zero-dep binary, fully local.
sainitish1609/mcp-guard🛡️ Ultra-fast local security firewall, secret sanitizer, and context token compressor for Claude Code, Cursor, and MCP AI agents.
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