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io.github.CSOAI-ORG/agent-orchestrator-mcp

MCP server for agent orchestrator. Features create agent, list agents, delegate task. From M...

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Trust: 37 — Low

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Documentation

MCP server for agent orchestrator mcp operations

Agent Orchestrator MCP provides AI-powered tools via the Model Context Protocol (MCP).

Tool	Description
`create_agent`	Create a new agent with a name, role, department, and capabilities.
`list_agents`	List all registered agents with their trust levels, task counts, and status.
`delegate_task`	Delegate a task to a specific agent or auto-route to the best match
`complete_task`	Mark a task as completed (or failed). Updates the agent's trust level
`acquire_files`	Acquire file locks for coordinated multi-agent work. Prevents conflicts
`release_files`	Release file locks held by an agent after task completion.
`start_sprint`	Start a focused sprint with named goals and a time limit. Sprints help
`complete_sprint`	Complete a sprint and record which goals were achieved. Returns the
`get_dashboard`	Get the full orchestration dashboard: agent count, trust averages,
`get_task_queue`	Get the task queue, optionally filtered by status (assigned/completed/failed)

pip install meok-agent-orchestrator-mcp

Add to your Claude Desktop MCP config:

{
  "mcpServers": {
    "agent-orchestrator-mcp": {
      "command": "python",
      "args": ["-m", "meok_agent_orchestrator_mcp.server"]
    }
  }
}