NYCfoodie

Editorial NYC restaurant recommendations for AI agents: search, compare, guides, ratings.

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설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

{
  "mcpServers": {
    "nycfoodie": {
      "url": "https://nycfoodie-production.up.railway.app/mcp"
    }
  }
}

원격 엔드포인트

https://nycfoodie-production.up.railway.app/mcpstreamable-http

할 수 있는 일

도구 목록

도구 (8)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢search_restaurants(query, city, cuisine, neighborhood, occasion, ...)

Search restaurants by free text, cuisine, neighbourhood, occasion or price, optionally near a point. Use when the user describes what they want (e.g. 'Italian date night in the West Village', 'ramen near me') rather than naming a specific restaurant. Free text matches names, tags, review prose and guide blurbs (e.g. 'cacio e pepe'). Returns compact matches with Infatuation rating (0–10), price tier, address_line and tags. Cards carry guide_appearance_count (a number); get_restaurant's guide_appearances is the full entry list. Known-closed venues are excluded by default. Coverage for city='new-york' is the five boroughs plus the immediate metro (within 30 km of Manhattan). With no query or filters, returns the highest-rated venues.

입력 스키마

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Free text, e.g. 'date-night Italian'",
      "type": "string"
    },
    "city": {
      "type": "string",
      "description": "City slug, always required. Currently 'new-york', covering the five boroughs plus the immediate metro (within 30 km of Manhattan)."
    },
    "cuisine": {
      "description": "e.g. 'Italian', 'ramen'",
      "type": "string"
    },
    "neighborhood": {
      "description": "e.g. 'West Village', or a borough like 'Brooklyn'",
      "type": "string"
    },
    "occasion": {
      "description": "Occasion tag. Allowed: 'Date Nights', 'Happy Hours', 'Pre-Theater', 'See & Be Seen', 'Serious Takeout Operation', 'Unique Dining Experiences', 'Wasting Your Time & Money'. Hyphens, spaces and underscores are flexible ('date-night' works); unambiguous prefixes resolve to the full value. Unknown or ambiguous values are rejected with an error.",
      "type": "string"
    },
    "min_rating": {
      "description": "Minimum Infatuation rating",
      "type": "number",
      "minimum": 0,
      "maximum": 10
    },
    "price_tier": {
      "description": "1 ($) to 4 ($$$$)",
      "type": "integer",
      "minimum": 1,
      "maximum": 4
    },
    "include_closed": {
      "description": "Include known-closed venues (default false)",
      "type": "boolean"
    },
    "lat": {
      "description": "Latitude for proximity search. Must be given together with lng; radius_km defaults to 5 km when omitted. A location outside the NYC coverage area is rejected with an error.",
      "type": "number"
    },
    "lng": {
      "description": "Longitude for proximity search. Must be given together with lat; radius_km defaults to 5 km when omitted.",
      "type": "number"
    },
    "radius_km": {
      "description": "Search radius in kilometres (default 5 when lat/lng are given without it). Requires lat and lng.",
      "type": "number",
      "exclusiveMinimum": 0
    },
    "sort": {
      "description": "Sort by rating (default) or guide appearances",
      "type": "string",
      "enum": [
        "rating",
        "guides"
      ]
    },
    "limit": {
      "description": "Max results (default 10)",
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    }
  },
  "required": [
    "city"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_restaurant(id, name, city, include_prose)

Get the full picture for one restaurant in one call: Infatuation rating (0–10), price tier, address, reservation link, booking intel, review summary, tags and every guide it appears in. Use when the user names a specific restaurant. editorial_blurbs carries verbatim Eater guide excerpts (guide title, URL, position, blurb, captured_at) for any venue with Eater guide entries — Eater-only venues have no rating or price, only this prose plus tags. Full review prose is opt-in via include_prose (default: headline and summary only). review.headline is the source's actual headline when one exists, otherwise null — use review.summary for the descriptive text. match_type is 'exact' when the id or name matched verbatim, 'fuzzy' when it was resolved from a partial/typo'd name — never present a fuzzy match as the venue the user named without saying so. booking is null when the source has no booking intel (not the same as walk-in-only); a reservation link alone never implies a booking policy. data_as_of is the dataset vintage and crawled_at is when this venue was last crawled — caveat fast-decaying claims (closures especially) when these are old.

입력 스키마

{
  "type": "object",
  "properties": {
    "id": {
      "description": "Canonical restaurant id, or a name to resolve",
      "type": "string"
    },
    "name": {
      "description": "Alias for id: the restaurant's exact name",
      "type": "string"
    },
    "city": {
      "type": "string",
      "description": "City slug, always required. Currently 'new-york', covering the five boroughs plus the immediate metro (within 30 km of Manhattan)."
    },
    "include_prose": {
      "description": "Include the full review text (default false: headline + summary only)",
      "type": "boolean"
    }
  },
  "required": [
    "city"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢compare_restaurants(restaurants, ids, city)

Compare 2–5 named restaurants head-to-head as structured data (rating, price, tags, review summary). Use when the user asks to choose between specific places, e.g. 'should I go to X or Y?' or to compare four options on a budget.

입력 스키마

{
  "type": "object",
  "properties": {
    "restaurants": {
      "description": "Restaurant ids or names to compare",
      "minItems": 2,
      "maxItems": 5,
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "ids": {
      "description": "Alias for restaurants",
      "minItems": 2,
      "maxItems": 5,
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "city": {
      "type": "string",
      "description": "City slug, always required. Currently 'new-york', covering the five boroughs plus the immediate metro (within 30 km of Manhattan)."
    }
  },
  "required": [
    "city"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢find_guides(city, query, limit, include_entries)

Find curated editorial guides (ranked lists) matching a theme, e.g. 'best ramen'. Returns each guide with its ranked entries, blurbs and linked restaurants. Use when the user wants the editorial lists themselves rather than individual restaurant picks. Set include_entries=false to list guide titles and metadata without pulling every entry blurb.

입력 스키마

{
  "type": "object",
  "properties": {
    "city": {
      "type": "string",
      "description": "City slug, always required. Currently 'new-york', covering the five boroughs plus the immediate metro (within 30 km of Manhattan)."
    },
    "query": {
      "description": "Theme, e.g. 'best ramen', 'date night'",
      "type": "string"
    },
    "limit": {
      "description": "Max results (default 10)",
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    },
    "include_entries": {
      "description": "Set false to return guide metadata without the ranked entry blurbs (default true)",
      "type": "boolean"
    }
  },
  "required": [
    "city"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢find_similar(id, name, city, limit)

Find restaurants similar to a named one, scored by shared cuisine, occasion and neighbourhood tags, price-tier proximity and guide co-occurrence. Use for 'like X' or 'alternatives to X' requests.

입력 스키마

{
  "type": "object",
  "properties": {
    "id": {
      "description": "Canonical restaurant id, or a name to resolve",
      "type": "string"
    },
    "name": {
      "description": "Alias for id: the restaurant's exact name",
      "type": "string"
    },
    "city": {
      "type": "string",
      "description": "City slug, always required. Currently 'new-york', covering the five boroughs plus the immediate metro (within 30 km of Manhattan)."
    },
    "limit": {
      "description": "Max results (default 10)",
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    }
  },
  "required": [
    "city"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢guide_consensus(city, theme, limit)

Rank restaurants by how many distinct guides feature them, optionally filtered by theme. Use for 'where can't I go wrong' or safest-bet picks. Differs from find_guides: this returns ranked restaurants, not the guides themselves. Each row carries guide_appearance_count (a number); get_restaurant's guide_appearances is the full entry list.

입력 스키마

{
  "type": "object",
  "properties": {
    "city": {
      "type": "string",
      "description": "City slug, always required. Currently 'new-york', covering the five boroughs plus the immediate metro (within 30 km of Manhattan)."
    },
    "theme": {
      "description": "Guide theme, e.g. 'ramen', 'brunch'",
      "type": "string"
    },
    "limit": {
      "description": "Max results (default 10)",
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    }
  },
  "required": [
    "city"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢top_rated(city, cuisine, neighborhood, occasion, min_rating, ...)

List the highest-rated restaurants (Infatuation 0–10 scale), with optional cuisine, neighbourhood and price filters. Use for 'best in the city' requests. Differs from search_restaurants: no free-text query, strictly rating-ordered.

입력 스키마

{
  "type": "object",
  "properties": {
    "city": {
      "type": "string",
      "description": "City slug, always required. Currently 'new-york', covering the five boroughs plus the immediate metro (within 30 km of Manhattan)."
    },
    "cuisine": {
      "description": "e.g. 'Italian', 'ramen'",
      "type": "string"
    },
    "neighborhood": {
      "description": "e.g. 'West Village', or a borough like 'Brooklyn'",
      "type": "string"
    },
    "occasion": {
      "description": "Occasion tag. Allowed: 'Date Nights', 'Happy Hours', 'Pre-Theater', 'See & Be Seen', 'Serious Takeout Operation', 'Unique Dining Experiences', 'Wasting Your Time & Money'. Hyphens, spaces and underscores are flexible ('date-night' works); unambiguous prefixes resolve to the full value. Unknown or ambiguous values are rejected with an error.",
      "type": "string"
    },
    "min_rating": {
      "description": "Minimum Infatuation rating",
      "type": "number",
      "minimum": 0,
      "maximum": 10
    },
    "price_tier": {
      "description": "1 ($) to 4 ($$$$)",
      "type": "integer",
      "minimum": 1,
      "maximum": 4
    },
    "include_closed": {
      "description": "Include known-closed venues (default false)",
      "type": "boolean"
    },
    "lat": {
      "description": "Latitude for proximity search. Must be given together with lng; radius_km defaults to 5 km when omitted. A location outside the NYC coverage area is rejected with an error.",
      "type": "number"
    },
    "lng": {
      "description": "Longitude for proximity search. Must be given together with lat; radius_km defaults to 5 km when omitted.",
      "type": "number"
    },
    "radius_km": {
      "description": "Search radius in kilometres (default 5 when lat/lng are given without it). Requires lat and lng.",
      "type": "number",
      "exclusiveMinimum": 0
    },
    "limit": {
      "description": "Max results (default 10)",
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    }
  },
  "required": [
    "city"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡submit_feedback(tool, rating, comment)

Record feedback on a tool result: a 1–5 rating, a comment, or both (at least one is required). Use after showing the user a recommendation to log what was good or wrong. Each call stores a new feedback entry; it changes nothing the user sees.

입력 스키마

{
  "type": "object",
  "properties": {
    "tool": {
      "description": "Which tool the feedback is about, e.g. 'search_restaurants'",
      "type": "string"
    },
    "rating": {
      "description": "1 (poor) to 5 (excellent)",
      "type": "integer",
      "minimum": 1,
      "maximum": 5
    },
    "comment": {
      "description": "What was good or wrong",
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}

권장 프롬프트

find_specific
Find [specific item] using NYCfoodie
예상 도구: search_restaurants
fetch_info
Fetch [information type] using NYCfoodie
예상 도구: get_restaurant
research_workflow
Search for [topic], then get detailed information about the top results using NYCfoodie
예상 도구: search_restaurantsget_restaurant
search_research
Search for information about [topic] using NYCfoodie
예상 도구: search_restaurants
retrieve_data
Get details about [item] from NYCfoodie
예상 도구: get_restaurant

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