MCP server for test impact analysis and code intelligence. Maps tests to code and git history to determine impacted tests, risk scores, and ownership for AI coding agents.
MCP server for AI-powered QA analysis. It enables analyzing test failures, identifying root causes, suggesting fixes, classifying defects, detecting flaky tests, and generating test cases and bug reports.
MCP server that provides tools for architecture analysis, risk diagnosis, quality metrics, and regression guarding to support AI-driven code review and incremental refactoring workflows.
An MCP server for AI-powered API testing that enables automated positive, negative, and security testing directly from AI chat interfaces. It supports multiple AI providers and generates detailed security reports.