Nefesh MCP MCP server

An official MCP server by Nefesh AI that enables AI agents to access real-time human state data, including stress scores, biometric signals, and psychological trigger profiles. It supports authentication via self-provisioning or API keys and integrates with various AI clients to adapt LLM behavior based on user context.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by Nefesh AI

MCP endpoint (Streamable HTTP)

https://mcp.nefesh.ai/mcp

Vendor documentation

What you can do with it

Check a user's current stress level and confidence score
Ingest biometric signals like heart rate and voice tone
Retrieve psychological trigger profiles for context
Get chronological state history for trend analysis

Tools advertised by the last live check:

get_human_state
ingest
get_trigger_memory
get_session_history
delete_subject
request_api_key
check_api_key_status

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http nefesh-mcp https://mcp.nefesh.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add nefesh-mcp --url https://mcp.nefesh.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable nefesh-mcp in your MCP settings.

Cursor configuration

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

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "nefesh-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.nefesh.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start nefesh-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "nefesh-mcp": {
      "type": "http",
      "url": "https://mcp.nefesh.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http nefesh-mcp https://mcp.nefesh.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

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

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "nefesh-mcp": {
      "serverUrl": "https://mcp.nefesh.ai/mcp"
    }
  }
}

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