Mercantry MCP Server

Mercantry MCP Server

Enables AI agents to search and retrieve structured merchant data, check availability, manage bookings, and submit feedback against an open commerce registry with real restaurant data for LA, Hong Kong, and Tokyo.

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README

Mercantry

Mercantry is an open commerce registry for AI agents — structured merchant data, honest signals, and real-world booking fulfillment.

Current status — read this first. Mercantry is pre-launch. What is real and what is not, precisely:

  • The merchant data is real: 168,000+ restaurants across Los Angeles, Hong Kong, and Tokyo, built exclusively from openly licensed sources (Overture Maps CDLA-P-2.0 + official government registers), conflated with per-field provenance and QA-gated versioned releases. Live counts: get_registry_meta.
  • Real merchants are discovery-only for now: place_booking against a real merchant returns the structured rejection fulfillment_not_live. A booking guard makes it structurally impossible for our booking simulator to dial a real restaurant.
  • The booking loop is testable end-to-end against sandbox: true merchants — fictional records with deterministic outcomes ("test cards for bookings"). Do not call sandbox phone numbers; they are not real businesses.
  • Fulfillment, when it launches, is human-operated phone booking on a phone-verified merchant tranche (voice automation is deferred). Outbound-calling sections of the spec operate only after legal review — publication of the spec is not operation.
  • Mercantry is built and operated by a team of AI agents with human oversight, stated here as a fact rather than a gimmick.

Connect your agent

The live endpoint serves MCP over Streamable HTTP:

claude mcp add --transport http mercantry https://agentic-commerce-registry.fly.dev/mcp
  • REST mirror: /v1 — self-describing via /v1/openapi.json
  • Discovery manifest: /.well-known/mcp.json · agent card: /.well-known/agent-card.json · health: /healthz · PII-free ops stats: /v1/stats · privacy policy: /privacy · demo & reviewer guide: /demo
  • Keys are optional (abuse control, not gating): POST /v1/keys with developer_name + contact. All reads are free and unauthenticated.
  • Bulk export encouraged: GET /v1/export/merchants.ndjson — caching, embedding, and training on the data are permitted under the open license.

Copy-paste integrations — curl, Claude Code/Desktop, raw MCP JSON-RPC, OpenAI Agents SDK, LangChain, webhook receiver: examples/. Agent-first tool documentation with example transcripts: docs/mcp-tools.md. If you are an agent working in this repo, read AGENTS.md.

MCP tools

search_merchants (filter-based, never ranked, deterministic documented order) · get_merchant (full signal dump: every field, raw feedback history, operational stats, per-field provenance) · get_availability (honest: performed_at_booking) · place_booking (async) · get_booking_status · modify_booking · cancel_booking (mandatory when plans change — no-shows are tracked per developer key) · submit_feedback (confirmed bookings only, once, within 14 days) · get_registry_meta (evaluate the registry itself, staleness included)

Run it yourself

npm install
npm run dev        # seeds a sandbox corpus on first boot; everything in one process
Surface Where
MCP (Streamable HTTP) http://localhost:4100/mcp
REST mirror + OpenAPI http://localhost:4100/v1
Landing page (public fact page) http://localhost:4100/
Ops Console (gate with OPS_TOKEN) http://localhost:4100/ops/
Booking status pages http://localhost:4100/status/:booking_id
npm test           # full suite
npm run typecheck

Deployment (Docker/Fly.io), agent onboarding, and the security checklist: docs/deployment.md.

Architecture

┌─────────────┐     ┌──────────────┐     ┌────────────────────┐
│  Agent      │────▶│  MCP Server   │────▶│ Fulfillment        │
│  (customer) │◀────│ src/mcp       │◀────│ Orchestrator       │
└─────────────┘     └──────┬───────┘     │ src/orchestrator   │
                           │             │  └─ human operator │
                    ┌──────▼───────┐     └─────────┬──────────┘
                    │  Registry DB  │◀──────────────┘
                    │  src/db       │     ┌────────────────────┐
                    └──────▲───────┘     │  Ops Console       │
                           │             │  src/ops + src/api │
                    ┌──────┴───────┐     └────────────────────┘
                    │  Ingestion    │ src/ingest — LA · HK · Tokyo,
                    │  & QA gate    │ openly licensed sources only
                    └──────────────┘

The customer is the agent, not the human. One uniform interface with swappable fulfillment backends: agents integrate once; behind the interface, fulfillment can graduate from human phone calls to native merchant integrations without the agent changing a line.

Hard rules encoded in this codebase

  • No ranking, ever. No score fields exist in the schema; search order is deterministic and documented. The registry returns signals, never ordered opinions.
  • No scraped review text. The only feedback served is transaction-verified, submitted by agents against confirmed bookings.
  • Openly licensed data only. Overture Maps (CDLA-P-2.0) + official government registers; per-field provenance with timestamps; QA-gated releases with published drop counts.
  • Opt-out is immediate and permanent. A merchant requesting removal is hard-excluded from discovery and booking the same day.
  • Every booking is auditable. Full event log: tool calls, transcripts, timestamped state transitions.
  • PII is minimal. Reservation name/contact stored only for the booking, never exposed via read tools.
  • Honesty over polish. get_availability says performed_at_booking instead of pretending; get_registry_meta exposes our own staleness; sandbox vs. real is labeled per merchant.

Spec

The full product spec lives at docs/requirements.md. Sections describing outbound calling are published for openness but nothing in them operates until legal review is complete — see the banner at the top of that document.

License

Apache-2.0. The registry spec, code, and data schema are open — openness is the strategy, not a concession.

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