EDNA Engine MCP Server

Let AI feel the human behind the screen. EDNA is a behavioral-biometric human-sensing engine that runs 100% on the user's device. Sixteen live channels turn mouse, touch, typing and motion into an AI-readable signal vector — presence, attention, hesitation, confidence — so AI systems can perceive the human behind the session instead of guessing from text alone.

Install

Published as edna-engine on npm (MCP binary: edna-mcp):

{
  "mcpServers": {
    "edna": {
      "command": "npx",
      "args": ["-y", "edna-engine"],
      "env": { "EDNA_LICENSE_KEY": "edna_live_…" }
    }
  }
}

Evaluation/testing runs without a license key (EPCAL-1.0). A hosted remote endpoint is also available: https://openos.space/mcp.

Related MCP server: baselayer

Run with Docker

docker build -t edna-mcp .
docker run -i edna-mcp

Tools

• edna.get_human_proof() → { confidence, classification, consent }

• edna.get_signal_vector() → 16 statistical humanness scores

• edna.get_human_context() → tempo trend, per-channel changes, pauses — with explicit uncertainty

Privacy by architecture, not by policy

• All capture and scoring happens in the user's browser sandbox

• Zero raw biometrics leave the device — no keystroke content, no pointer paths, no motion data

• Shared proofs are non-personalized, irreversible cryptographic hash patterns only

• No server, no API keys, no analytics, no cookies

Bot classification

Verified against published test vectors (see EDNA-verification): signature and cheap-evasion bots are caught; statistical mimicry is a documented open boundary (challenge-response v1.1).

Links

• Live demo & docs: https://openos.space

• Remote MCP endpoint: https://openos.space/mcp

• REST API, JS SDK and PWA also available

• Evaluation/testing free (EPCAL-1.0); production via Stripe

• Contact: contact@openos.space