POS.DO MCP Server

posdo-io/mcp-server

Connects Claude to POS.DO's directory of 356,000 restaurants across 20 countries. You get seven tools: search by city, cuisine, or price range; pull full profiles with reviews and photos; find spots near landmarks; check cultural context from Wikidata (monuments, museums within walking distance); browse time-based discount offers; and book reservations with idempotent semantics. The API runs at pos.do/mcp over streamable HTTP, no local server needed. Anonymous tier gives you 60 requests per minute. Reach for this when you're building travel planning, local discovery, or dining recommendation features and need structured restaurant data with reviews, availability, and geographic context already normalized across Europe, the Americas, and parts of Asia-Pacific.

tools: 7
transport: HTTP
last updated: May 19, 2026

View on GitHub

Install

From registry metadata

$ npx add-mcp https://pos.do/mcp --name posdo-io

Run in your terminal. add-mcp asks which agents to add it to (Claude Code, Codex, Cursor and more). Add -g to install it for every project.

Review the command, arguments and environment values before installing. MCP servers run with your local permissions.

Other ways

Claude Code

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

Run in your terminal. Add --scope user to make it available in every project.

Tools

Verified live · 7 tools

Verified live against the running server on Nov 6, 2026.

search_restaurantsSearch 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.6 params

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.

Parameters* required

city*string

City name. Examples: 'Madrid', 'New York', 'Milano', 'Barcelona'.

cuisinestring

Cuisine filter. Examples: 'italian', 'mexican', 'sushi', 'spanish', 'indian'.

featuresstring

Comma-separated feature filters: terrace, wifi, parking, delivery, accessible.

limitinteger

default: 10

price_maxinteger

Max price level 1=budget, 4=fine dining.

querystring

Free-text search: cuisine, occasion, features (e.g. 'romantic italian terrace').

get_restaurant_detailsGet 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.1 params

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.

Parameters* required

slug*string

Restaurant URL slug. Example: 'anima-e-cuore-osteria-bilbao'.

get_restaurant_reviewsGet 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.5 params

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.

Parameters* required

limitinteger

default: 10

offsetinteger

default: 0

ratinginteger

Filter by exact star rating.

slug*string

Restaurant URL slug.

sortstring

one of recent · rating_high · rating_lowdefault: recent

get_flow_offersPOS.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'.2 params

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'.

Parameters* required

datestring

Date YYYY-MM-DD (default: today).

slug*string

Restaurant URL slug.

book_flow_reservationMake 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 d...7 params

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 d...

Parameters* required

guest_email*string

guest_name*string

guest_phone*string

E.164 format, e.g. +34911234567.

notesstring

party_sizeinteger

default: 2

slug*string

Restaurant URL slug.

yield_offer_id*integer

Offer ID returned by get_flow_offers.

find_restaurants_near_landmarkFind 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'.4 params

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'.

Parameters* required

citystring

City hint for landmark disambiguation.

landmark*string

Landmark name.

limitinteger

default: 10

radiusinteger

Search radius in meters.default: 1000

get_cultural_context_around_restaurantGet cultural context around a restaurant: nearby monuments, museums, parks, historical sites with distance and heritage status. Powered by Wikidata.1 params

Get cultural context around a restaurant: nearby monuments, museums, parks, historical sites with distance and heritage status. Powered by Wikidata.

Parameters* required

slug*string

Restaurant URL slug.

Readme

POS.DO MCP Server

PosDO MCP Server

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

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

View the full README on GitHub

Details

Repository: github.com/posdo-io/mcp-server
Website: pos.do
Category: Search & Web Crawling
Transport: HTTP
Registry: MCP registry, active
Tools verified: Nov 6, 2026

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