askahuman-mcp

An MCP (Model Context Protocol) server that gives AI agents access to human verification. Ask a human a question, pay via the Lightning Network, and get a verified answer -- all through standard MCP tools.

Any MCP-compatible AI agent (Claude, Gemini, Codex, etc.) can use this server to request human judgment on tasks that require real-world understanding, common sense, or subjective evaluation.

Platform launch coming soon — The AskAHuman marketplace is on its way. Follow @AskAHumanOnline for updates.

Prerequisites

• Node.js >= 18

• LND node with REST API enabled and a funded channel (for Lightning payments)

Related MCP server: lightning-mcp

Installation

Run directly (no install required):

npx askahuman-mcp

Or install globally:

npm install -g askahuman-mcp

Configuration

All configuration is via environment variables:

Copy .env.example to .env and fill in your values:

cp .env.example .env

Tools

The server exposes five tools to AI agents:

Task types

• BINARY_DECISION -- Yes/No questions

• MULTIPLE_CHOICE -- Choose from provided options (supply choices[])

• TEXT_RESPONSE -- Free-form text answer

• MEDIA_VERIFICATION -- Verify one or more images and get a free-form text answer (supply images[] as public https URLs, max 8; choices[] is not allowed for this type)

Quick start

Claude Desktop

Add to your Claude Desktop MCP configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "askahuman": {
      "command": "npx",
      "args": ["askahuman-mcp"],
      "env": {
        "ASKAHUMAN_API_URL": "https://api.askahuman.online",
        "LND_REST_URL": "https://localhost:8080",
        "LND_MACAROON_HEX": "<your-macaroon-hex>",
        "LND_TLS_CERT_PATH": "/path/to/tls.cert"
      }
    }
  }
}

Restart Claude Desktop. The ask_human tool will be available in your conversations.

Example usage

ask_human is non-blocking: it prices the task, pays the Lightning invoice, submits the request, and returns right away with a verificationId and status: "PENDING". The agent then polls check_verification until the human responds. (The MCP request timeout is far shorter than a human's response time, so the tool never blocks waiting for an answer.)

Text / decision task — the agent is prompted:

"Ask a human whether this email looks like a phishing attempt: [email content]"

1. ask_human returns immediately:

   { "status": "PENDING", "verificationId": "vid-123", "amountPaidSats": 50 }

2. The agent polls check_verification({ "verificationId": "vid-123" }) every 30–60s:

   • While terminal: false (nextStep: "keep_polling") → keep polling.

   • When terminal: true with status COMPLETED → the human's answer is in the result field.

Image task (MEDIA_VERIFICATION) — verify images and get a free-form answer:

ask_human({
  "taskType": "MEDIA_VERIFICATION",
  "question": "Do both photos show the same person?",
  "images": [
    "https://example.com/a.jpg",
    "https://example.com/b.jpg"
  ],
  "maxWaitMinutes": 240
})
// → { "status": "PENDING", "verificationId": "vid-456", "amountPaidSats": 80 }

Image URLs must be public https links (up to 8). Then poll check_verification exactly as above.

Multiple choice — supply choices[]:

ask_human({
  "taskType": "MULTIPLE_CHOICE",
  "question": "Which category best fits this support ticket?",
  "choices": ["Billing", "Bug report", "Feature request", "Spam"]
})

If a task expires in the queue without being claimed, check_verification returns nextStep: "call_request_refund" — call request_refund({ "verificationId": "..." }) to reclaim the sats.

Development

# Clone the repository
git clone https://github.com/AskAHumanOnline/askahuman-mcp-server.git
cd askahuman-mcp-server

# Install dependencies
npm install

# Build
npm run build

# Run tests
npm test

# Run with coverage
npx jest --config jest.config.cjs --coverage

# Lint
npm run lint

# Start the server (stdio transport)
npm start

# Interactive tool testing with MCP Inspector
npx @modelcontextprotocol/inspector dist/index.js

Running tests

Unit tests mock all external I/O (HTTP calls, LND). No running services are required.

npm test

Integration tests (in tests/integration/) are skipped by default. They require:

• A running AskAHuman backend

• A Polar Lightning Network with funded channels

How it works

The server implements the L402 payment protocol:

1. Submit -- The agent sends a verification request to the AskAHuman API

2. Pay -- The API returns a 402 with a Lightning invoice; the MCP server pays it via the agent's LND node

3. Authenticate -- The payment preimage proves payment; the server retries with L402 credentials

4. Return -- The request is queued for a human verifier and ask_human returns immediately with a verificationId (status PENDING)

5. Poll -- The agent calls check_verification every 30–60s until it returns terminal: true; status COMPLETED carries the human's answer in result

If a task expires without being claimed, check_verification signals nextStep: "call_request_refund" and the agent can call request_refund to reclaim the sats.

License

MIT