MCP-Maestro
Connects AI assistants to the Maestro research framework to orchestrate multi-agent research missions, including planning, research, and writing phases. It enables users to launch research tasks, track real-time progress, and retrieve comprehensive structured reports and notes.
README
Maestro MCP Server
MCP server para Maestro (AI Research Platform) con descubrimiento automático de puerto.
Puertos Oficiales
Según la documentación oficial, Maestro se ejecuta en:
- Web UI: puerto
3000 - Backend API: puerto
3001(a través de nginx en 80) - PostgreSQL: puerto
5432
Quick Start
cd mcp-maestro
uv venv --python 3.12 .venv
source .venv/bin/activate
uv pip install -r requirements.txt
python3 server.py
Lógica de Descubrimiento
- Primero: Busca en puerto
3000(web UI) - Si no encuentra: Escanea puertos alternativos (8000, 10303, 8001, 5000, 8080)
- Si sigue sin encontrar: Pide al usuario el puerto por consola
- Fallback: Usa
http://localhost:3000si el usuario no responde
Configuración Manual
Si prefieres configurar manualmente, usa la variable de entorno:
export MAESTRO_BASE_URL=http://localhost:3000
O crea un archivo .env en la raíz del proyecto.
Herramientas
maestro_create_mission
- request (string): Descripción de la misión
- chat_id (string, optional): ID de chat
- use_web_search (boolean): Usar búsqueda web
maestro_get_report
- mission_id (string): ID de la misión
maestro_resume
- mission_id (string): ID de la misión
maestro_stop
- mission_id (string): ID de la misión
Claude Desktop
{
"mcpServers": {
"maestro": {
"command": "uv",
"args": ["--directory", "/Users/simba/Code/MCP-servers/mcp-maestro", "run", "python3", "server.py"]
}
}
}
MCP Server
- Puerto: 8081
- SSE: /sse
- HTTP: /mcp
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