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 CLI coding agents with persistent decision memory, codebase dependency-graph awareness, plan validation against architectural constraints, and a self-bootstrapping constraints.md file.
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.
MCP server that bundles curated development rules and tools to teach AI agents universal coding standards, testing, planning, and requirements engineering.