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Generate test suites from requirements through a local endpoint for AI assistants.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "testgen-eval" yet — see the docs or source repo.
Generate a complete test suite from these requirements: users can sign up, log in, and reset passwords; registration email must be unique; lock the account for 30 minutes after 5 failed login attempts. Cover happy paths, edge cases, and failure scenarios.
A structured set of test cases covering main flows, edge cases, and error handling.
Convert the following acceptance criteria into a test suite: search results are sorted by relevance by default; show an empty state when there are no results; filters support price range and brand combinations.
Test scenarios and checks derived from the acceptance criteria, ready for automation or manual testing.
Create a regression test suite from these API requirements: GET /orders returns an order list; supports filtering by status; unauthorized requests return 401; non-existent order IDs return 404.
A regression test set covering API behavior, status codes, and error responses.
Developers can feed requirements into this tool to generate a test suite, check requirement coverage, and plan test scope before implementation.
When a local HTTP endpoint is available, teams can connect test-suite generation to an AI assistant workflow through this MCP tool.
During product or QA collaboration, teams can input feature requirements and acceptance criteria to quickly get a reviewable test checklist.
It wraps testgen's test-suite generation as an MCP tool so AI assistants can generate test suites from requirements.
The description says it exposes its capability through a local HTTP endpoint and is callable by AI assistants as an MCP tool. See the source repository for implementation details.
The known prerequisite is a local HTTP endpoint that exposes testgen's test generation capability. Other setup steps, dependencies, or key requirements are not specified in the provided material; see the source repository.
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Parse API specs to generate tests, reviews, and auto-fix suggestions.