MCP Servers

mmm-team-orchestrator

A minimal MCP server for file-based task management and multi-agent team orchestration, enabling creation, completion, and reassignment of tasks across teams.

README

MMM Team Orchestrator

A minimal MCP (Model Context Protocol) server that acts as a file-based task manager for multi-agent team orchestration.

Designed for use with OpenCode, Claude, or any MCP-compatible AI assistant.

Quick Start

# Python 3.9+ required, no extra dependencies
python mcp_server.py

Register with OpenCode on Windows

OpenCode legge la config da:

C:\Users\<you>\.config\opencode\opencode.jsonc

Schema richiesto da OpenCode: command è un array (non stringa), e enabled è obbligatorio.

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "team-orchestrator": {
      "enabled": true,
      "command": [
        "cmd",
        "/c",
        "D:\\projects\\opencode\\mmm-team-orchestrator\\mcp_server.cmd"
      ],
      "env": {
        "TASKS_DIR": "D:\\projects\\opencode\\mmm-team-orchestrator\\tasks"
      }
    }
  }
}

Note: command is an array where first element is the executable and the rest are arguments.
Use double backslash \\ in JSON paths on Windows.

Test manuale da PowerShell

cd D:\projects\opencode\mmm-team-orchestrator
'{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}' | python mcp_server.py

Risposta attesa: {"jsonrpc": "2.0", "id": 1, "result": {"protocolVersion": "2024-11-05", ...}}

Poi in OpenCode digita /mcp per verificare che il server sia connesso.

Tools

Tool	Description
`create_task`	Create a task assigned to a team
`complete_task`	Mark task as DONE with outcome
`comment_and_escalate`	Add comment and re-assign to another team
`get_task`	Fetch full task details
`list_tasks`	List all tasks with optional filters

See agents.md for full documentation.

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