ATENA Decision Intelligence
Decision-control specialist for AI fitness and human-performance agents.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (1)
- LOWTool 'atena_capabilities' description lacks action verbin atena_capabilities
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"atena": {
"url": "https://atena-mcp.onrender.com/mcp"
}
}
}Remote-Endpunkte
https://atena-mcp.onrender.com/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"type": "object",
"properties": {},
"title": "atena_capabilitiesArguments"
}Community
Nachweis