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:
"Connect to Nefesh and get me a free API key for [email protected]"
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 |
| 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) |
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.
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.
MCP Tools
| Tool | Auth | Description |
|---|---|---|
request_api_key |
No | Request a free API key by email. Poll with check_api_key_status until ready. |
check_api_key_status |
No | Poll for API key activation. 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). |
delete_subject |
Yes | GDPR-compliant cascading deletion of all data for a subject. |
How self-provisioning works
Your AI agent can get a free API key autonomously. You only click one email link.
- Agent calls
request_api_key(email)— no API key needed for this call - You receive a verification email and click the link
- Agent polls
check_api_key_status(request_id)every 10 seconds - Once verified, the agent receives the API key and can use all other tools
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 7 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 |
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.