Execute vitest test suite with safety constraints, supporting optional test name filter or path restriction, and return results including pass/fail status, exit code, and duration.
Execute JavaScript to query Gaffer test and coverage data, analyze project health, debug failures, and identify untested code areas using codemode API functions.
Lists every memory in a specified project scope, providing the total count and source breakdown. Use to audit the full inventory and verify if specific memories still exist.
Run 50 lint dimensions across mechanical, shipped, metabolic, and semantic categories to check substrate contract invariants and auto-repair fixable findings during development or release.
MCP server for debugging pytest failures, allowing users to register test failures, apply systematic debugging principles, and analyze failure patterns.
An MCP-compliant server that enables the execution of pytest test suites and the storage of results into a QA platform database. It allows AI models to trigger test runs, track execution progress, and retrieve historical test data through specialized tool interfaces.
Launch interactive test recording to transcribe browser actions into runnable test code. Use to build baseline happy-path tests by clicking through complex UI flows.
Summarize large lint, test, or CI output files locally. Groups errors by file and type, prioritizing the most important, without consuming Claude's context.
Execute test suites under the QA runner and generate structured reports with exit codes, logs, and flaky detection. Supports optional filter to target specific tests across pytest, Jest, Cypress, Go, and Maestro.
Re-run only the tests that failed in the previous run, supporting pytest, Jest, Cypress, Go, and Maestro. Faster than a full suite, ideal for iterative bug fixes.
Run an agent repeatedly, using evaluator feedback from each attempt to correct outputs until a success threshold is reached or time/budget constraints trigger a halt.
Convert candidate test case descriptions into test skeleton files (pytest-playwright, Jest, etc.) with optional pre-filled selectors from URL and module analysis.
Verifies a QA plan by checking each critical point against provided evidence or auto-discovered test results, outputting a pass/incomplete/fail checklist.
Requests human feedback via web UI for decisions, clarifications, or approvals, blocking until user responds. Use when multiple valid approaches exist or actions have irreversible effects.