$ loading_
Enforce configurable QA strategies so AI-generated tests meet strict standards.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "QE-MCP" yet — see the docs or source repo.
Use QE-MCP to enable strict test rules for this repository. Require AI-generated unit tests to follow layered architecture, naming conventions, fixture reuse, and no external network access, then flag any violations.
Validated test constraints with violation reasons and actionable remediation suggestions.
Use QE-MCP to inspect the new test code in this PR. Verify coverage targets, mocking style, directory structure, and test isolation against the team QA policy, then generate a review summary.
A PR test QA report showing passes, failures, and recommended fixes.
Use QE-MCP to define an executable test quality policy for the project, covering test type boundaries, dependency injection, test data construction, and assertion style, then provide rules suitable for AI coding agents to follow.
A structured test QA policy and rule set ready to enforce on AI-generated test code.
MCP tool for QA workflows, testing, defect tracking, and reporting.
Safely query and manage qTest data for test automation and collaboration.
Run local QA checks for APIs, test cases, errors, and SLA evaluation.
Let AI directly control QEMU virtual machines for debugging and test automation.
Validate AI-generated code with browser tests, evidence capture, and smart diagnostics.
Verify AI-generated code for quality, security, and performance with more trust.