Agentic API Testing: Authored, Governed, and Validated

Anyone’s AI can generate a test. The harder question is what happens after — when APIs change, tests break, and you need to know exactly what your agent touched, what it fixed, and whether the results can be trusted. 

That’s the problem ReadyAPI MCP is built to solve. 

Join us for this 20-minute deminar to see ReadyAPI’s Model Context Protocol (MCP) server in action, and discover how ReadyAPI gives AI agents a structured, governed interface into your test projects — without handing them the keys. 

In this session, you’ll see: 

• Spec → Test suite in seconds: Watch an AI agent read an OpenAPI spec and generate a full test suite directly inside ReadyAPI, orchestrated via MCP, no manual test authoring required 

• MCP tools for test maintenance: See the detect → fix → validate toolchain ReadyAPI exposes via MCP, giving users who work with AI agents the structured interface they need to keep test suites accurate as APIs evolve 

• Governance by design: Opt-in activation, bearer token authentication, local host-only access, and a complete audit log of every MCP action so your team has a traceable record of what the agent changed and why 

• No new SKU, no friction: The MCP server activates through the Integrations tab; every existing seat is agent-ready from day one 

Whether you’re a QA lead trying to keep test suites accurate as specs change, a DevOps engineer looking to wire AI into your pipeline, or a platform owner who needs AI-assisted testing to be auditable and safe, this session shows you what that looks like in practice.