NYCfoodie
Editorial NYC restaurant recommendations for AI agents: search, compare, guides, ratings.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"nycfoodie": {
"url": "https://nycfoodie-production.up.railway.app/mcp"
}
}
}Remote-Endpunkte
https://nycfoodie-production.up.railway.app/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (8)
🟢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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟡submit_feedback(tool, rating, comment)
Record feedback on a tool result: a 1–5 rating, a comment, or both (at least one is required). Use after showing the user a recommendation to log what was good or wrong. Each call stores a new feedback entry; it changes nothing the user sees.
Eingabe-Schema
{
"type": "object",
"properties": {
"tool": {
"description": "Which tool the feedback is about, e.g. 'search_restaurants'",
"type": "string"
},
"rating": {
"description": "1 (poor) to 5 (excellent)",
"type": "integer",
"minimum": 1,
"maximum": 5
},
"comment": {
"description": "What was good or wrong",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Empfohlene Prompts
search_restaurantsget_restaurantsearch_restaurantsget_restaurantsearch_restaurantsget_restaurantAufgezeichnete Aufrufbeispiele
find_similarEingabeparameter
{
"id": "example-1",
"city": "example-1",
"limit": 10
}Ausgabeergebnis
{
"result": {
"content": [
{
"type": "text",
"text": "Unsupported city 'example-1'. Supported: new-york."
}
],
"isError": true
},
"durationMs": 46
}Community
Nachweis