ZBS Index What actually exists in applied AI, with the source next to it

mcp server

Nefesh — Real-Time Human State Awareness for AI

Fuses biometric signals into a stress score (0-100) for AI adaptation. MCP + A2A native.

Description as published by the maintainer. Source

  • version 4.0.0
  • slowing

slowing — Most recent push to the repository was 2026-04-16.

What this server can do

6 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

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. Required: request_id.
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. Required: session_id.
get_session_history(minutes, session_id)
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. Required: session_id.
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. Required: subject_id.
ingest(eda, gaze, sdnn, spo2, tone, pnn50, rmssd, posture, urgency, mean_ibi, ibi_count, sentiment, timestamp, confidence, engagement, expression, heart_rate, session_id, subject_id, sleep_stage, speech_rate, stress_score, glucose_mg_dl, glucose_trend, source_device, activity_level, cognitive_load, eeg_beta_power, glucose_mmol_l, eeg_alpha_power, eeg_theta_power, respiratory_rate, skin_temperature, pitch_variability, steps_last_minute)
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. Required: session_id, timestamp.
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. Required: email.

Last successful function declaration observed on . Source: https://mcp.nefesh.ai/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://mcp.nefesh.ai/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 0 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-04-16 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 0 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 4.0.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-04-03 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-04-03 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub
mcp tools declared 6 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe mcp.nefesh.ai
mcp endpoint status ok The server listed 6 functions when asked. as of probe mcp.nefesh.ai

Where to get it

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. nefesh-ai/nefesh-mcp-server on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://mcp.nefesh.ai/mcp — mcp.nefesh.ai, observed , trust tier 1.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.