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  3. Nefesh โ€” Real Time Human State Awareness
Nefesh โ€” Real Time Human State Awareness logo
Health: ActiveRecent health check succeeded.Last checked 10/12/2026, 5:01:52 AM

Nefesh โ€” Real Time Human State Awareness

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
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human-statebiometricsstressagent-adaptationstreamable-http

Tracks human stress from biometric and communication signals, then returns actions and feedback for adaptive AI interactions.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "nefesh-real-time-human-state-awareness": {
      "url": "https://mcp.nefesh.ai/mcp"
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (6) Directory Badge Claim listing Alternatives๐Ÿ’ป More in Developer Tools

Overview

Nefesh โ€” Real-time Human State Awareness MCP server combines heart, voice, facial-expression, and sentiment signals into a human-state response. Its tools return a stress score, suggested action, session trends, trigger memory, and feedback on whether a previous adaptation reduced stress. Use it when an agent needs to adjust its interaction based on changing human physiological or behavioral signals. The hosted service connects over Streamable HTTP and can also be accessed through an A2A endpoint.

Use cases

โ€ขAdapt agent responses to changing stress levels
โ€ขIngest biometric and communication signals
โ€ขTrack whether an intervention reduced stress
โ€ขReview psychological triggers across sessions
โ€ขMonitor human-state trends over time

Key features

โ€ขUnified stress scoring from multimodal signals
โ€ขSuggested actions for agent adaptation
โ€ขClosed-loop adaptation effectiveness
โ€ขTrigger memory by subject
โ€ขTimestamped session history and trends
โ€ขStreamable HTTP and A2A access

Capabilities & Tool Schemas (6) ~231 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Nefesh โ€” Real Time Human State Awareness.

request_api_key

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

Poll for API key activation using the same email the user provided. Returns `pending` or `ready` with API key.

get_human_state

Get stress state (0-100), `suggested_action` (maintain/simplify/de-escalate/pause), and `adaptation_effectiveness` โ€” a closed-loop showing whether your previous action reduced stress.

ingest

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

Get psychological trigger profile โ€” which topics cause stress (active) and which have been resolved over time.

get_session_history

Get timestamped state history with trend (rising/falling/stable).

How Nefesh โ€” Real Time Human State Awareness works

What Nefesh โ€” Real-time Human State Awareness does

Nefesh โ€” Real-time Human State Awareness gives MCP-compatible agents access to a unified view of human state. It accepts signals such as heart rate, heart-rate variability, voice tone, facial expression, and text sentiment, then returns a stress score from 0 to 100 along with a recommended response such as maintaining, simplifying, de-escalating, or pausing.

The service also reports whether a previous agent action appears to have reduced stress. On later calls in a session, the response can include the previous action, earlier and current scores, the change between them, and an effectiveness result. This lets an agent compare its interventions instead of reacting only to the latest reading.

How it works

The hosted MCP endpoint is https://mcp.nefesh.ai/mcp and uses Streamable HTTP, so the client does not need a local server installation. An authenticated client can call ingest with available biometric or communication signals and receive the combined state. Supplying a subject_id enables trigger-memory behavior for that subject.

get_human_state retrieves the current stress state and adaptation feedback. get_session_history returns timestamped states with a rising, falling, or stable trend. get_trigger_memory reports topics associated with active stress responses and topics that have been resolved over time.

Nefesh โ€” Real-time Human State Awareness also exposes an A2A interface at https://mcp.nefesh.ai/a2a, using JSON-RPC 2.0. The A2A agent card is available at /.well-known/agent-card.json, and the same API-key authentication applies to both protocols.

Setup and configuration

Connect the client to the hosted MCP URL with no key to begin the self-provisioning flow, or add an existing key in the X-Nefesh-Key header. To request a key through the server, the agent must ask for the user's real, accessible email address. The user then clicks the verification link, and the agent polls check_api_key_status until the key is ready. Disposable addresses are blocked.

Alternatively, obtain a key through the Nefesh signup page and place it in the client configuration. The documented free tier provides 1,000 calls per month, supports all signal types, limits traffic to 10 requests per minute, and does not require a credit card.

Configuration examples and client-specific locations are documented for Cursor, Windsurf, Claude Desktop, Claude Code, VS Code, Cline, Continue, Roo Code, JetBrains IDEs, Zed, OpenAI Codex CLI, and Gemini CLI. These clients connect to the remote endpoint rather than installing a local package.

Tools and capabilities

  • request_api_key: starts free-key provisioning after receiving the user's real email.
  • check_api_key_status: checks whether email verification is complete and returns a pending or ready result.
  • get_human_state: returns stress, a suggested action, and adaptation effectiveness.
  • ingest: submits 30 or more supported signal fields and returns the unified state.
  • get_trigger_memory: retrieves active and resolved psychological trigger information.
  • get_session_history: returns state history with a trend indicator.

Limitations and notes

Nefesh โ€” Real-time Human State Awareness requires user verification for self-service API-key creation; an agent must not invent or guess an email address. Authenticated state and signal tools require an API key. The service is designed to process supplied signals, so its output depends on the data sent by the client.

The free plan has a monthly call allowance and a rate limit. The material identifies the service as GDPR compliant, but it does not specify retention periods, regional hosting, data deletion procedures, or the exact set of supported signal fields. Review those details before using it for sensitive production workloads.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

Last commit
6mo ago
Most recent push to the default branch.
Tools exposed
6
Callable tools this server registers over MCP.

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Frequently Asked Questions about Nefesh โ€” Real Time Human State Awareness

Nefesh โ€” Real-time Human State Awareness is an MCP server that connects AI agents to human-state signals including heart rate, HRV, voice, facial expression, and sentiment. Its main tools ingest signals, return stress state and suggested actions, track adaptation effectiveness, expose trigger memory, and provide session history.

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Technical Specs & Signals

Category๐Ÿ’ปDeveloper Tools
More technical detailsExpand โ–พ
TransportSSE (Remote)
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue
Last updatedOct 7, 2026
15/15 checks healthy over the last 61d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit6mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Apr 16, 2026
47Quality signal: Fair ยท 47/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity0/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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