POS DO MCP Server

PosDO MCP Server

Discovery of 356K+ restaurants across 20 countries via the Model Context Protocol.

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POS.DO is a discovery platform with global coverage of restaurants — names, addresses, reviews, photos, opening hours, cuisines, neighbourhoods, cultural context, and real-time availability with time-based offers. This MCP server exposes that catalogue to AI agents over the Model Context Protocol.

What this server provides

• 356,780 restaurants in 20 countries (US, ES, IT, MX, FR, CO, DE, GB, DO, PR, AU, CA, PT, JP, BE, CH, HK, VE, NZ, PY)
• 7 languages of content (ES, EN, IT, FR, DE, PT, CA)
• 14.1M+ user reviews with author, rating, text, language, photos
• Cultural context — nearby monuments, museums, parks, and heritage sites from Wikidata, per restaurant
• Flow time-based offers — off-peak discounts at participating restaurants, with real seat availability
• Reservation booking with idempotent semantics (safe retries via Idempotency-Key header)

This is a proxy repository. The MCP endpoint runs at https://pos.do/mcp and is operated by EZZYPUSH SL. No local installation of the server is required — agents just point at the URL.

Quick start

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "pos-do": {
      "url": "https://pos.do/mcp"
    }
  }
}

Restart Claude Desktop. The 7 tools below become available.

Cursor / Cline / Continue

Most MCP clients accept a remote HTTP server entry of the same shape. For Cursor:

{
  "mcp.servers": {
    "pos-do": {
      "url": "https://pos.do/mcp",
      "transport": "http"
    }
  }
}

Generic MCP client (raw JSON-RPC over HTTP)

curl -sS -X POST https://pos.do/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Tools

Tool	Purpose	Docs
search_restaurants	Search restaurants in a city, with cuisine/price/feature filters	docs
get_restaurant_details	Full profile for a restaurant by slug	docs
get_restaurant_reviews	Paginated reviews with star and date filters	docs
get_flow_offers	Today's time-based discount slots for a restaurant	docs
book_flow_reservation	Reserve a seat at a Flow-discounted slot	docs
find_restaurants_near_landmark	Restaurants within walking distance of a famous landmark	docs
get_cultural_context_around_restaurant	Monuments, museums, parks near a restaurant (Wikidata)	docs

Full tool inventory with inputSchema is served live at /.well-known/mcp.json.

Endpoint and transport

• Production URL: https://pos.do/mcp
• Protocol: MCP 2024-11-05
• Transport: HTTP POST (JSON-RPC 2.0), Streamable HTTP compatible
• Discovery manifests:
  • https://pos.do/.well-known/mcp.json — official MCP discovery (full tools[] with inputSchema)
  • https://pos.do/.well-known/webmcp.json — webmcp.link manifest
  • https://pos.do/.well-known/mcp/server-card.json — Smithery-style server card
  • https://pos.do/mcp/manifest.json — alias

Authentication and rate limits

The server runs in anonymous tier by default. No API key required.

Tier	Per minute	Per day
Anonymous (default)	60 req/min per IP	10,000 req/day per IP
Reservation attempts	10/min per IP	5/day per email

Higher-rate API keys are available on request — open an issue.

For idempotent reservations, send an Idempotency-Key HTTP header (any UUID or stable client-side key). Replays within 24 h return the original reservation instead of creating a duplicate.

Coverage and data sources

See docs/data-coverage.md for per-country counts and source attributions.

Examples

• Python
• Node
• curl

Status

Stable. Backwards-compatible changes only at this point. Breaking changes will be announced via CHANGELOG.md and bumped to 2.x.

License

Apache License 2.0 — see LICENSE.

Contact

• Issues / feature requests: github.com/posdo-io/mcp-server/issues
• Operator: EZZYPUSH SL (Spain)
• Website: pos.do