An MCP server that enforces disciplined Git workflows by planning coding tasks into small, test-gated commits, ensuring tests pass before staging and preventing out-of-scope or oversized changes.
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.
An MCP server that implements a structured workflow for LLM-based coding, guiding development through feature clarification, documentation generation, phased implementation, and progress tracking.
An MCP server that manages development specifications and enforces coding standards through AI integration, helping teams reduce rework and maintain consistency across projects.
An MCP server that assists with the orchestration of new software projects by applying standardized templates and best practices in design patterns and software architecture.