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.
This MCP server provides a local-first control plane for coding agents, enabling task routing, contract management, and shared learning across multiple AI vendors via markdown files.
This MCP server enables collaborative planning and task management on a shared Markdown-based blackboard, allowing multiple LLMs and humans to create, claim, update, and track tasks with audit events and role-based access.
Enables anchored comments in Markdown files that AI agents can propose changes for, with human approval before application, all managed via an MCP server.
An MCP server that converts Cursor agent plans into structured markdown task lists and organizes them in your repository, helping you track AI-generated plans and recommendations as actionable specifications.