An MCP server that turns independent AI agents into a coordinated engineering team with shared task board, context, review loop, and enforced plan-implement-review-iterate workflow.
Enforces a rigorous spec-driven engineering workflow for AI coding assistants, requiring requirements, design, and task planning before any code is written.
MCP server that integrates DevFlow with AI code assistants to enforce structured development workflows including planning, task tracking, and code review gates.
A YAML-driven workflow guidance MCP server that enables AI coding agents to follow structured development workflows with real-time state tracking and progression control.
MCP server that allows AI agents to read and update project progress across different AI coding tools and sessions, maintaining a single source of truth in a PROGRESS.md file.