MCP server

POS.DO MCP Server

io.github.posdo-io/mcp-server

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Discover 356K+ restaurants in 20 countries: search, reviews, cultural context, time-based offers.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

7

Token cost

About 1,302 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http posdo-io https://pos.do/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.posdo-io]
url = "https://pos.do/mcp"

Gemini CLI

{"mcpServers":{"posdo-io":{"httpUrl":"https://pos.do/mcp"}}}

Cursor

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

VS Code

{"servers":{"posdo-io":{"type":"http","url":"https://pos.do/mcp"}}}

Antigravity

agy mcp add posdo-io https://pos.do/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"posdo-io","server_url":"https://pos.do/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"posdo-io","server_url":"https://pos.do/mcp"}

Tools

• book_flow_reservation ~266 tokens
  Make a reservation at a Flow-discounted time slot. Phone must be E.164 (e.g. +34911234567). To make retries safe, send the same Idempotency-Key HTTP header on retries (any UUID); replays within 24h return the original reservation. Rate limited to 5 reservations per email per day and 10 attempts per
• find_restaurants_near_landmark ~192 tokens
  Find restaurants near a famous landmark (monument, museum, park). Returns landmark info from Wikidata + nearby restaurants sorted by walking distance. Examples: 'Sagrada Familia', 'Colosseum', 'Central Park', 'Tour Eiffel'.
• get_cultural_context_around_restaurant ~99 tokens
  Get cultural context around a restaurant: nearby monuments, museums, parks, historical sites with distance and heritage status. Powered by Wikidata.
• get_flow_offers ~134 tokens
  POS.DO Flow time-based offers for a restaurant. Off-peak hours have bigger discounts. Returns time slots with discount percentages and remaining covers. Tagline: 'Tu hora, tu precio'.
• get_restaurant_details ~126 tokens
  Get the full profile of a restaurant by URL slug. Returns name, address, coordinates, rating, reviews count, phone, opening hours, photos, services, cuisine type, price level, current Flow offers, and cultural context.
• get_restaurant_reviews ~192 tokens
  Get paginated reviews for a restaurant. Filter by star rating, sort by date or rating. Returns review text, author, rating, date, photos, language, owner response, and rating distribution.
• search_restaurants ~293 tokens
  Search restaurants in a specific city. Filter by cuisine type, price range, and features like outdoor seating, WiFi, delivery. Returns up to 20 results with name, rating, cuisine, price range, address, coordinates, photo, amenities, and current Flow offers.

Browse

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