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Coordinate CLI agents across projects with file-based task boards and tracking.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agent-coordination-mcp" yet — see the docs or source repo.
Create a file-based task board for the current repository. Break down “implement login API, add unit tests, and update deployment scripts” into assignable tasks, assign them to different CLI agents, and output task status and owners.
A structured task board with task breakdowns, agent assignments, status tracking, and owners.
Coordinate CLI agent tasks across two projects: Project A handles API refactoring, and Project B handles documentation and validation. Record dependencies, current progress, and blockers in files, and suggest next steps.
A cross-project task board showing dependencies, progress, blockers, and recommended next actions.
Read the existing task board and assignment records, then summarize completed, in-progress, and pending tasks for each CLI agent, and flag items that have not been updated for a long time.
A task execution summary by agent, including statuses and delayed items that need attention.
Enable AI coding agents to communicate, share state, and coordinate work in real time.
Run dependent or parallel agent tasks and return structured results in one call.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.
Connect coding agents in a secure network for collaboration and gated execution.
Give AI coding agents filesystem, Git, database, and compute tools via MCP.
Create, manage, and compose AI agents for MCP-compatible clients and tools.