Nefesh — Real-Time Human State Awareness for AI
Fuses biometric signals into a stress score (0-100) for AI adaptation. MCP + A2A native.
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Calidad y seguridad
Hallazgos (2)
- HIGHTool poisoning patterns detected
- LOWTool description contains role marker that could confuse chat modelsen request_api_key
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": {
"human-state": {
"url": "https://mcp.nefesh.ai/mcp"
}
}
}Puntos de conexión remotos
https://mcp.nefesh.ai/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (6)
🟢get_human_state(session_id)
Get current unified human state for a session. Call this before generating important responses. Returns: - state: calm | relaxed | focused | stressed | acute_stress - stress_score: 0-100 (lower = calmer) - confidence: 0.0-1.0 (based on signal quality and device type) - suggested_action: maintain_engagement | simplify_and_focus | de-escalate_and_shorten | pause_and_ground - action_reason: human-readable explanation of why this action was suggested - adaptation_effectiveness (on 2nd+ call): shows whether your previous suggested_action actually reduced stress — contains previous_action, stress_delta, and effective boolean. Use this to self-improve. Use suggested_action to adapt your response: calm/relaxed = full complexity, focused = shorter and structured, stressed = max 2 sentences, acute_stress = one grounding sentence only. Requires a prior ingest call to have data. Not a medical device.
Esquema de entrada
{
"type": "object",
"properties": {
"session_id": {
"title": "Session Id",
"type": "string"
}
},
"required": [
"session_id"
],
"title": "get_human_stateArguments"
}🟡ingest(session_id, timestamp, heart_rate, rmssd, sdnn, ...)
Send biometric signals from any sensor, get unified state back. Required: session_id + timestamp (ISO 8601) + at least one signal. Send whatever you have — the API fuses all signals into one state. Common signals (highest impact): - heart_rate (bpm, 30-220) + rmssd (ms) — cardiovascular - tone: calm | tense | anxious | hostile — vocal - sentiment: -1.0 to 1.0 — textual - expression: relaxed | neutral | tense — visual For trigger memory (cross-session psychological tracking): - Include subject_id (consistent per user, hashed) Returns same fields as get_human_state plus signals_received list and topics_detected (if conversation text was included). source_device is optional but improves confidence scoring. Not a medical device.
Esquema de entrada
{
"type": "object",
"properties": {
"session_id": {
"title": "Session Id",
"type": "string"
},
"timestamp": {
"title": "Timestamp",
"type": "string"
},
"heart_rate": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Heart Rate"
},
"rmssd": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Rmssd"
},
"sdnn": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Sdnn"
},
"spo2": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Spo2"
},
"pnn50": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Pnn50"
},
"mean_ibi": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Mean Ibi"
},
"ibi_count": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Ibi Count"
},
"tone": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Tone"
},
"speech_rate": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Speech Rate"
},
"pitch_variability": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Pitch Variability"
},
"expression": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Expression"
},
"gaze": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Gaze"
},
"posture": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Posture"
},
"engagement": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Engagement"
},
"sentiment": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Sentiment"
},
"urgency": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Urgency"
},
"glucose_mg_dl": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Glucose Mg Dl"
},
"glucose_mmol_l": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Glucose Mmol L"
},
"glucose_trend": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Glucose Trend"
},
"eeg_alpha_power": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Eeg Alpha Power"
},
"eeg_beta_power": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Eeg Beta Power"
},
"eeg_theta_power": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Eeg Theta Power"
},
"cognitive_load": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Cognitive Load"
},
"eda": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Eda"
},
"skin_temperature": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Skin Temperature"
},
"respiratory_rate": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Respiratory Rate"
},
"steps_last_minute": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Steps Last Minute"
},
"activity_level": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Activity Level"
},
"sleep_stage": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sleep Stage"
},
"stress_score": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Stress Score"
},
"source_device": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Source Device"
},
"confidence": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Confidence"
},
"subject_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Subject Id"
}
},
"required": [
"session_id",
"timestamp"
],
"title": "ingestArguments"
}🟢get_trigger_memory(subject_id)
Retrieve psychological trigger profile for a subject. Returns which conversation topics consistently cause stress (active triggers) and which have been resolved over time. - active triggers: topics where stress was elevated across multiple sessions. Tread carefully. - resolved triggers: topics where stress has decreased. Safe to explore deeper. Each trigger includes observation_count, avg_score, peak_score, and last_seen. Requires prior ingest calls with the same subject_id. Not a medical device.
Esquema de entrada
{
"type": "object",
"properties": {
"subject_id": {
"title": "Subject Id",
"type": "string"
}
},
"required": [
"subject_id"
],
"title": "get_trigger_memoryArguments"
}🟢get_session_history(session_id, minutes)
Get state history for a session over time. Returns timestamped datapoints with stress_score, state, and heart_rate for each observation. Includes an overall trend: rising | falling | stable. Use minutes parameter to control the lookback window (default: 5, max: 60). Useful for detecting stress patterns during a conversation. Not a medical device.
Esquema de entrada
{
"type": "object",
"properties": {
"session_id": {
"title": "Session Id",
"type": "string"
},
"minutes": {
"default": 5,
"title": "Minutes",
"type": "integer"
}
},
"required": [
"session_id"
],
"title": "get_session_historyArguments"
}🟢request_api_key(email)
Request a free Nefesh API key. No existing API key needed for this call. IMPORTANT: You MUST ask the user for their real email address before calling this tool. Do NOT invent, guess, or generate an email address. The user will receive a verification link they must click to activate the key. Without clicking that link, no API key will be issued. Disposable or temporary email services are blocked. Example prompt to the user: "What is your email address? You will receive a verification link to activate your free API key." Flow: call this with the user's real email, then poll check_api_key_status every 10 seconds until status is 'ready'. Free tier: 1,000 calls/month, all signal types, 10 req/min. No credit card.
Esquema de entrada
{
"type": "object",
"properties": {
"email": {
"title": "Email",
"type": "string"
}
},
"required": [
"email"
],
"title": "request_api_keyArguments"
}🟢check_api_key_status(request_id)
Check the status of a pending API key request. Use the exact same email the user provided to request_api_key. Poll this every 10 seconds. Once the user clicks the verification link in their inbox, status changes from 'pending' to 'ready' and the response includes the API key. Store it immediately — returned once only. Expires after 15 minutes.
Esquema de entrada
{
"type": "object",
"properties": {
"request_id": {
"title": "Request Id",
"type": "string"
}
},
"required": [
"request_id"
],
"title": "check_api_key_statusArguments"
}Prompts recomendados
get_human_stateget_human_stateComunidad
Evidencia