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POS.DO MCP Server

POS.DO MCP Server

Remote
pos.doMaps & Travel0Updated 23w ago

About POS.DO MCP Server

POS.DO MCP Server gives AI agents access to restaurant discovery data across 20 countries, including reviews, cultural context and time-based offers. Its tools also support finding nearby restaurants and booking eligible offers.

Key features

  1. 01Search restaurants with filters
  2. 02Read restaurant profiles and reviews
  3. 03Find restaurants near landmarks
  4. 04Explore nearby cultural sites
  5. 05View offers and book reservations

Use cases

  1. 01Find restaurants by city, cuisine or price
  2. 02Check reviews and opening details
  3. 03Locate dining near a landmark
  4. 04Book a seat for an off-peak offer

MCP support

Exposes restaurant search, details, reviews, cultural context, offers and reservation tools to MCP clients through a hosted HTTP endpoint.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://pos.do/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

7
ParameterTypeRequiredDescription
citystringYesCity name. Examples: 'Madrid', 'New York', 'Milano', 'Barcelona'.
limitintegerNo
querystringNoFree-text search: cuisine, occasion, features (e.g. 'romantic italian terrace').
cuisinestringNoCuisine filter. Examples: 'italian', 'mexican', 'sushi', 'spanish', 'indian'.
featuresstringNoComma-separated feature filters: terrace, wifi, parking, delivery, accessible.
price_maxintegerNoMax price level 1=budget, 4=fine dining.

Details

From the project README
POS.DO MCP Server

PosDO MCP Server

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

License MCP Endpoint


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

ToolPurposeDocs
search_restaurantsSearch restaurants in a city, with cuisine/price/feature filtersdocs
get_restaurant_detailsFull profile for a restaurant by slugdocs
get_restaurant_reviewsPaginated reviews with star and date filtersdocs
get_flow_offersToday's time-based discount slots for a restaurantdocs
book_flow_reservationReserve a seat at a Flow-discounted slotdocs
find_restaurants_near_landmarkRestaurants within walking distance of a famous landmarkdocs
get_cultural_context_around_restaurantMonuments, 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.

TierPer minutePer day
Anonymous (default)60 req/min per IP10,000 req/day per IP
Reservation attempts10/min per IP5/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

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

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