Nefesh
Real-time human state awareness for AI agents. Fuses biometric signals into a unified stress score (0-100) via Streamable HTTP.
Nefesh MCP Server
A Model Context Protocol server that gives AI agents real-time awareness of human physiological state — stress level, confidence, and behavioral adaptation prompts.
What it does
Your AI agent sends sensor data (heart rate, voice, video, text) via the Nefesh API. The MCP server returns a unified stress score (0–100), a state label (Calm → Acute Stress), and an adaptation prompt that tells the agent how to adjust its behavior.
Signals supported: cardiovascular (HR, HRV, RR intervals), vocal (pitch, jitter, shimmer), visual (facial action units), textual (sentiment, keywords)
Setup
1. Get an API key
Get your key at nefesh.ai/pricing ($25/month, 50,000 calls).
2. Add to your AI agent
Find your agent's MCP config file:
| 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 |
| Amazon Q | ~/.aws/amazonq/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) |
Add the following configuration (works with most agents):
{
"mcpServers": {
"nefesh": {
"url": "https://mcp.nefesh.ai/mcp",
"headers": {
"X-Nefesh-Key": "<YOUR_API_KEY>"
}
}
}
}
VS Code (Copilot) — uses servers instead of mcpServers
{
"servers": {
"nefesh": {
"type": "http",
"url": "https://mcp.nefesh.ai/mcp",
"headers": {
"X-Nefesh-Key": "<YOUR_API_KEY>"
}
}
}
}
Zed — uses context_servers in settings.json
{
"context_servers": {
"nefesh": {
"settings": {
"url": "https://mcp.nefesh.ai/mcp",
"headers": {
"X-Nefesh-Key": "<YOUR_API_KEY>"
}
}
}
}
}
OpenAI Codex CLI — uses TOML in ~/.codex/config.toml
[mcp_servers.nefesh]
url = "https://mcp.nefesh.ai/mcp"
Continue.dev — uses YAML in .continue/config.yaml
mcpServers:
- name: nefesh
type: streamable-http
url: https://mcp.nefesh.ai/mcp
All agents connect via Streamable HTTP — no local installation required.
Tools
| Tool | Description |
|---|---|
ingest_signal | Send raw sensor data. Returns unified stress score + state + adaptation prompt. |
get_state | Get current physiological state for a session. |
get_history | Get state history over time for a session. |
delete_subject | GDPR-compliant deletion of all data for a subject. |
Quick test
After adding the config, ask your AI agent:
"What tools do you have from Nefesh?"
It should list the tools above.
State labels
| Score | State |
|---|---|
| 0–19 | Calm |
| 20–39 | Relaxed |
| 40–59 | Focused |
| 60–79 | Stressed |
| 80–100 | Acute Stress |
Documentation
Privacy
- No video uploads — edge processing runs client-side
- No PII stored — strict schema validation
- GDPR/BIPA compliant — cascading deletion via
delete_subject - Not a medical device — for contextual AI adaptation only
License
Proprietary. See nefesh.ai/terms.
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