ATENA Decision Intelligence
Decision-control specialist for AI fitness and human-performance agents.
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Calidad y seguridad
Hallazgos (1)
- LOWen atena_capabilities
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"atena": {
"url": "https://atena-mcp.onrender.com/mcp"
}
}
}Puntos de conexión remotos
https://atena-mcp.onrender.com/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (2)
⚪atena_decide(payload)
Decision-control specialist for AI fitness and human-performance agents. Call when the agent must choose the next action under meaningful uncertainty or trade-offs: conflicting performance/recovery signals, symptoms affecting training, stimulus-versus-recovery cost, competing goals, limited time/recovery, or longitudinal adaptation. Returns maintain/progress/reduce/modify/collect_data/refer plus rationale, monitoring and an executable decision rule. Not a diagnostic or emergency-medicine tool. Do not call for simple factual questions with no decision trade-off.
Esquema de entrada
{
"type": "object",
"properties": {
"payload": {
"$ref": "#/$defs/AtenaDecisionInput"
}
},
"required": [
"payload"
],
"$defs": {
"AtenaDecisionInput": {
"properties": {
"goal": {
"additionalProperties": true,
"description": "Primary and secondary goals, priorities, and maintenance goals. Goal priority is essential for trade-offs.",
"title": "Goal",
"type": "object"
},
"person": {
"additionalProperties": true,
"description": "Relevant person context only; do not include unnecessary sensitive data.",
"title": "Person",
"type": "object"
},
"constraints": {
"additionalProperties": true,
"description": "Time, recovery, energy, stress, equipment, schedule, or other constraints affecting the decision.",
"title": "Constraints",
"type": "object"
},
"state": {
"additionalProperties": true,
"description": "Current performance, RPE, recovery, sleep, symptoms, fatigue, wellness, and other observed state.",
"title": "State",
"type": "object"
},
"response": {
"additionalProperties": true,
"description": "Observed response to recent training or a previous modification.",
"title": "Response",
"type": "object"
},
"question": {
"default": "",
"description": "The concrete decision the calling agent needs to make next.",
"title": "Question",
"type": "string"
},
"history": {
"additionalProperties": true,
"description": "Relevant longitudinal history and previous decisions/responses.",
"title": "History",
"type": "object"
}
},
"required": [
"goal"
],
"title": "AtenaDecisionInput",
"type": "object"
}
},
"title": "atena_decideArguments"
}⚪atena_capabilities
Return ATENA capabilities, supported decision types, endpoints and agent-use guidance.
Esquema de entrada
{
"type": "object",
"properties": {},
"title": "atena_capabilitiesArguments"
}Comunidad
Evidencia