wyoloservice2_mcp
Enables AI agents to connect to the NeuralForgeAI cluster for inspecting and controlling YOLO training jobs, including launching, monitoring, canceling studies, and verifying dataset paths.
README
wyoloservice2_mcp
Servidor de Model Context Protocol (MCP) para el clúster Train Service 2 / NeuralForgeAI. Permite a los agentes de Inteligencia Artificial conectarse nativamente para inspeccionar y controlar los entrenamientos de YOLO.
Instalación
Instala el paquete y sus dependencias (FastMCP) usando pip:
pip install -e .
Uso con un Cliente MCP (ej. Claude Desktop o Antigravity)
Añade este servidor a tu archivo de configuración MCP (por ejemplo, en mcp_servers.json):
{
"mcpServers": {
"neuralforge-mcp": {
"command": "wyolo-mcp",
"env": {
"NEURALFORGE_API_URL": "http://192.168.10.252:23442"
}
}
}
}
Herramientas Expuestas
get_cluster_status: Comprueba si la API y Celery están online.get_study_details(study_id): Recupera métricas, progresos y el worker activo de un estudio.cancel_study(study_id): Fuerza la cancelación de un estudio y mata los contenedores efímeros.launch_training(config): Envía un nuevo estudio YOLO a la cola.check_dataset_path(path): Verifica localmente si un volumen o ruta de dataset existe antes de lanzar entrenamientos para evitar fallos.
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