$ loading_
Run and manage API testing workflows through natural language commands.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "atest-mcp-server" yet — see the docs or source repo.
Based on this user login API spec, generate 10 API test cases covering successful login, wrong password, missing parameters, permission errors, and rate limiting, then rank them by priority.
A well-structured set of API test cases with objectives, request conditions, expected results, and priorities.
Run regression tests for the create order, get order, and cancel order APIs. Check status codes, response fields, and error handling, then summarize any failures.
A regression test summary showing passed checks, failed checks, and possible causes.
Convert this requirement into an API test workflow: register a new user, log in to get a token, call the profile API to verify returned data, and finally clean up the test data.
An executable API testing workflow with ordered steps, dependencies, and key validation points.
Run tests programmatically, inspect results, and get test strategy recommendations.
Build and extend an MCP API testing server scaffold step by step.
Manage Apidog test cases, scenarios, suites, and test data in one place.
Use 65 deterministic tools to reliably test MCP protocols across transports.
Parse API specs to generate tests, reviews, and auto-fix suggestions.
Connect AI to TestOps for test management, defects, launches, and analytics.