Mercantry MCP Server
OfficialClick on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Mercantry MCP ServerI'm looking for a sushi place in Tokyo for tonight"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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_bookingagainst a real merchant returns the structured rejectionfulfillment_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: truemerchants — 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/mcpREST mirror:
/v1— self-describing via/v1/openapi.jsonDiscovery 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:/demoKeys are optional (abuse control, not gating):
POST /v1/keyswithdeveloper_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.
Related MCP server: 402 MCP Restaurant Finder
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 processSurface | Where |
MCP (Streamable HTTP) |
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REST mirror + OpenAPI |
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Landing page (public fact page) |
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Ops Console (gate with |
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Booking status pages |
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npm test # full suite
npm run typecheckDeployment (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_availabilitysaysperformed_at_bookinginstead of pretending;get_registry_metaexposes 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.
This server cannot be deployed
Maintenance
Related MCP Connectors
Directory of APIs, merchants, and tools AI agents can actually use.
MCP layer for local businesses: discover, query, book, and transact with verified SMB AI agents.
Merchant intelligence for AI agents: brand/operator/location hierarchy + industry codes.
Travel & commerce intelligence for AI agents: search, book & price-track hotels, events, retail.
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