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.
MCP server that integrates DevFlow with AI code assistants to enforce structured development workflows including planning, task tracking, and code review gates.
A universal MCP server that acts as a code quality gate for AI assistants, providing pre-generation guidance, post-generation review, and root cause analysis to improve code quality.
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 intelligent MCP server that serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.
