An MCP server that enables AI coding agents to coordinate by sharing environment snapshots and diffs, surfacing overlapping work, exchanging debug-session messages, handing off tasks, and enforcing policy preflight checks.
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.
A local-first MCP server for AI coding agents that shares structured execution state, routes context deltas, and provides preflight nudges to prevent conflicts and stale decisions.
MCP server that enables an agent to spawn sub-agents (a crew) via a local tool, allowing delegation of large tasks to parallel workers with a human approval gate and efficient token usage.
