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MCP server · Agents

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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Scored 5 months ago · breakdown

About Nefesh — Real-Time Human State Awareness for AI

Nefesh — Real-Time Human State Awareness for AI is an MCP server in the Agents category: fuses biometric signals into a stress score (0-100) for AI adaptation. MCP + A2A native. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/nefesh-ai/nefesh-mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

Nefesh MCP + A2A Server

A Model Context Protocol and Agent-to-Agent (A2A) server that gives AI agents real-time awareness of human physiological state.

What it does

Send sensor data (heart rate, voice, facial expression, text sentiment), get back a unified state with a machine-readable action your agent can follow directly. Zero prompt engineering required.

On the 2nd+ call, the response includes adaptation_effectiveness — telling your agent whether its previous approach actually worked. A closed-loop feedback system for self-improving agents.

Adaptation Effectiveness (Closed-Loop)

Most APIs give you a state. Nefesh tells you whether your reaction to that state actually worked.

On the 2nd+ call within a session, every response includes:

{
  "state": "focused",
  "stress_score": 45,
  "suggested_action": "simplify_and_focus",
  "adaptation_effectiveness": {
    "previous_action": "de-escalate_and_shorten",
    "previous_score": 68,
    "current_score": 45,
    "stress_delta": -23,
    "effective": true
  }
}

Your agent can read effective: true and know its previous de-escalation worked. If effective: false, the agent adjusts its strategy. No other human-state system provides this feedback loop.

Setup

Option A: Connect first, get a key through your agent (fastest)

Add the config without an API key — your agent will get one automatically.

{
  "mcpServers": {
    "nefesh": {
      "url": "https://mcp.nefesh.ai/mcp"
    }
  }
}

Then ask your agent:

"Get me a free Nefesh API key using my email address"

The agent calls request_api_key → you click one email link → the agent picks up the key. No signup form, no manual copy-paste. After that, add the key to your config for future sessions:

{
  "mcpServers": {
    "nefesh": {
      "url": "https://mcp.nefesh.ai/mcp",
      "headers": {
        "X-Nefesh-Key": "nfsh_free_..."
      }
    }
  }
}

Option B: Get a key first, then connect

Sign up at nefesh.ai/signup (1,000 calls/month, no credit card), then add the config with your key:

{
  "mcpServers": {
    "nefesh": {
      "url": "https://mcp.nefesh.ai/mcp",
      "headers": {
        "X-Nefesh-Key": "YOUR_API_KEY"
      }
    }
  }
}

Agent-specific config files

Agent Config file
Cursor ~/.cursor/mcp.json
Windsurf ~/.codeium/windsurf/mcp_config.json
Claude Desktop ~/Library/Application Support/Claude/claude_desktop_config.json
Claude Code .mcp.json (project root)
VS Code (Copilot) .vscode/mcp.json or ~/Library/Application Support/Code/User/mcp.json
Cline cline_mcp_settings.json (via UI: "Configure MCP Servers")
Continue.dev .continue/config.yaml
Roo Code .roo/mcp.json
Kiro (Amazon) ~/.kiro/mcp.json
OpenClaw ~/.config/openclaw/mcp.json
JetBrains IDEs Settings > Tools > MCP Server
Zed ~/.config/zed/settings.json (uses context_servers)
OpenAI Codex CLI ~/.codex/config.toml
Goose CLI ~/.config/goose/config.yaml
ChatGPT Desktop Settings > Apps > Add MCP Server (UI)
Gemini CLI Settings (UI)
Augment Settings Panel (UI)
Replit Integrations Page (web UI)
LibreChat librechat.yaml (self-hosted)
{
  "servers": {
    "nefesh": {
      "type": "http",
      "url": "https://mcp.nefesh.ai/mcp",
      "headers": {
        "X-Nefesh-Key": "<YOUR_API_KEY>"
      }
    }
  }
}
{
  "context_servers": {
    "nefesh": {
      "settings": {
        "url": "https://mcp.nefesh.ai/mcp",
        "headers": {
          "X-Nefesh-Key": "<YOUR_API_KEY>"
        }
      }
    }
  }
}
[mcp_servers.nefesh]
url = "https://mcp.nefesh.ai/mcp"
mcpServers:
  - name: nefesh
    type: streamable-http
    url: https://mcp.nefesh.ai/mcp

All agents connect via Streamable HTTP — no local installation required.

A2A Integration (Agent-to-Agent Protocol v1.0)

Nefesh is also available as an A2A-compatible agent. While MCP handles tool-calling (your agent calls Nefesh), A2A enables agent-collaboration — other AI agents can communicate with Nefesh as a peer.

Agent Card: /.well-known/agent-card.json

A2A Endpoint: POST https://mcp.nefesh.ai/a2a (JSON-RPC 2.0)

A2A Skill Description
get-human-state Stress state (0-100), suggested_action, adaptation_effectiveness
ingest-signals Send biometric signals, receive unified state
get-trigger-memory Psychological trigger profile (active vs resolved)
get-session-history Timestamped history with trend

Same authentication as MCP — X-Nefesh-Key header or Authorization: Bearer token. Free tier works on both protocols.

Source: nefesh-ai/nefesh-a2a · Docs: nefesh.ai/docs/a2a

MCP Tools

Tool Auth Description
request_api_key No Request a free API key. You MUST ask the user for their real email first. Do not invent or guess emails. The user receives a verification link they must click. Poll with check_api_key_status until ready.
check_api_key_status No Poll for API key activation using the same email the user provided. Returns pending or ready with API key.
get_human_state Yes Get stress state (0-100), suggested_action (maintain/simplify/de-escalate/pause), and adaptation_effectiveness — a closed-loop showing whether your previous action reduced stress.
ingest Yes Send biometric signals (heart rate, HRV, voice tone, expression, sentiment, 30+ fields) and get unified state back. Include subject_id for trigger memory.
get_trigger_memory Yes Get psychological trigger profile — which topics cause stress (active) and which have been resolved over time.
get_session_history Yes Get timestamped state history with trend (rising/falling/stable).

How self-provisioning works

Your AI agent can get a free API key autonomously. You only click one email link.

  1. Agent asks you: "What is your email address?"
  2. Agent calls request_api_key(your_real_email). No API key needed for this call.
  3. You receive a verification email and click the link
  4. Agent polls check_api_key_status(your_real_email) every 10 seconds
  5. Once verified, the agent receives the API key and can use all other tools

Important: The agent must use your real, accessible email address. Disposable emails are blocked. The verification link must be clicked by you to activate the key.

Free tier: 1,000 calls/month, all signal types, 10 req/min. No credit card.

Quick test

After adding the config, ask your AI agent:

"What tools do you have from Nefesh?"

It should list the 6 tools above.

Pricing

Plan Price API Calls
Free $0 1,000/month, no credit card
Solo $25/month 50,000/month
Enterprise Custom Custom SLA

CLI Alternative

Prefer the terminal over MCP? Use the Nefesh CLI (10-32x lower token cost than MCP for AI agents):

npm install -g @nefesh/cli
nefesh ingest --session test --heart-rate 72 --tone calm
nefesh state test --json

GitHub: nefesh-ai/nefesh-cli

Gateway Alternative

Want the AI to adapt automatically? Use the Nefesh Cognitive Compute Router. Change your LLM base URL to gateway.nefesh.ai and the gateway adjusts system prompt and temperature based on biometric state. Three modes: OpenAI-compatible (/v1/chat/completions), Anthropic passthrough (/v1/messages), and Unified Anthropic for any backend. Zero code changes.

GitHub: nefesh-ai/nefesh-gateway

Human State Protocol (HSP)

Nefesh implements and maintains the Human State Protocol, an open specification for exchanging human physiological state between AI systems. HSP defines a standard JSON format for stress scores, behavioral recommendations, and adaptation feedback so any agent can produce or consume human state data interoperably. Apache 2.0.

GitHub: nefesh-ai/human-state-protocol · Docs: nefesh.ai/docs/hsp

Documentation

Privacy

  • No video or audio uploads — edge processing runs client-side
  • No PII stored
  • GDPR/BIPA compliant — cascading deletion via delete_subject
  • Not a medical device — for contextual AI adaptation only

License

MIT — see LICENSE.

README mirrored from the source repository 5 months ago. The original is authoritative.

Questions

About Nefesh — Real-Time Human State Awareness for AI

How do I install Nefesh — Real-Time Human State Awareness for AI?

Run git clone https://github.com/nefesh-ai/nefesh-mcp-server, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Nefesh — Real-Time Human State Awareness for AI safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Nefesh — Real-Time Human State Awareness for AI still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.