mcpbeat

Nefesh — Real-Time Human State Awareness for AI MCP Server

ai.nefesh/human-state
answering

Nefesh — Real-Time Human State Awareness for AI is answering right now. Last checked 12 min ago. It exposes 6 tools. Last commit 16 Apr 2026.

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

Uptime history 40 hours of history
40 hours agonow
100.0%
Uptime 24h
91 of 91 checks
6
Tools
read from the server
134 ms
Response time
average over 24h
0
Stars
last commit 16 Apr 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

run in your terminal
claude mcp add human-state --transport http https://mcp.nefesh.ai/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "human-state": {
      "url": "https://mcp.nefesh.ai/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.human-state]
url = "https://mcp.nefesh.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "human-state": {
      "url": "https://mcp.nefesh.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "human-state": {
      "url": "https://mcp.nefesh.ai/mcp"
    }
  }
}

Available tools 6

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

api
check_api_key_status
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.
human
get_human_state
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.
ingest
ingest
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.
request
request_api_key
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.
session
get_session_history
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.
trigger
get_trigger_memory
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.

Endpoints

URLTransportStateLatencyChecked
https://mcp.nefesh.ai/mcp streamable-http answering 128 ms 12 min ago

Nefesh — Real-Time Human State Awareness for AI — questions

Answers built from our own checks of this server.

What can Nefesh — Real-Time Human State Awareness for AI do?
It exposes 6 tools, read directly from the server on our last check. Among them: check_api_key_status, get_human_state, get_session_history, get_trigger_memory, ingest, request_api_key. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Nefesh — Real-Time Human State Awareness for AI working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 134 ms. The bar chart above shows every period we have measured.
How do I connect Nefesh — Real-Time Human State Awareness for AI?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Nefesh — Real-Time Human State Awareness for AI need an API key?
No. Nefesh — Real-Time Human State Awareness for AI completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Nefesh — Real-Time Human State Awareness for AI?
It answers our handshake in 134 ms on average, which is faster than 77% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Nefesh — Real-Time Human State Awareness for AI open source?
Yes — it is published under the MIT licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.