ai2robot-mcp
MCP server that lets AI agents dispatch physical tasks to robot executors and track the task -> proof -> verify -> settle workflow, enabling task creation, executor discovery, proof submission, and verification status checks.
README
ai2robot-mcp
MCP server that gives any AI agent the ability to dispatch physical tasks to
robot executors and track task -> proof -> verify -> settle.
Works with Claude Code, OpenClaw, Cursor, Codex and any MCP-compatible agent.
What it does
| Tool | Purpose |
|---|---|
create_physical_task |
publish a physical task (action, location, proof requirements, budget, deadline) |
list_executors |
find executors near a location, filter by action |
submit_proof |
submit a proof bundle; deterministic verification gates approval |
verification_status |
check status, verdict and escrow id |
Quick start (local demo mode)
No backend needed. The server runs against an in-memory executor registry and verifies proof bundles with real SHA-256 / Ed25519 checks.
npm install
npm run build
npm start
Register with your agent:
# Claude Code
claude mcp add ai2robot -- npx tsx src/index.ts
# OpenClaw
openclaw mcp add ai2robot -- npx tsx src/index.ts
Then ask the agent something like:
"Create a physical task to inspect the store at 31.2304,121.4737, proof = photo + GPS trace, budget 10 USDC, deadline in 3 hours. Then show me who was matched."
Example proof bundle
Robots/executors submit a proof bundle with a hash-chained action log, GPS traces and an Ed25519 signature. The server rejects bundles whose chain is broken, timestamps are out of order, or GPS movement is implausible.
Roadmap
- Network API mode (
AI2ROBOT_API_URL) — same tools, live executors - ERC-8004 executor registration
- VCAP-compatible escrow settlement
- Verifier-node sampling for high-value tasks
License
MIT
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