An MCP server that enforces hard quality gates on AI coding agents, including forced web search, planning, and empirical test execution, to prevent common failure modes and ensure production-grade code.
An MCP server that adds engineering discipline to AI-assisted development, enforcing evidence-gated TDD, security review, backup strategy, and deployment generation to turn AI-generated code into production-ready software.
An MCP server that enforces repository governance rules for AI coding agents, providing tools to validate plans, diffs, and scan for architectural and safety violations.
An MCP server that provides curated test cases and behavior specifications for common software features, enabling AI coding agents to define acceptance criteria before writing code.
An MCP server that enhances AI agents' coding capabilities by providing zero hallucinations, improved code quality, security-first approach, high test coverage, and efficient context management.