Koskamo

NYCfoodie MCP

NYCfoodie is a free public MCP server that provides structured editorial New York restaurant recommendations for AI agents. It exposes tools to search venues by cuisine or neighbourhood, compare shortlists side-by-side, pull ranked editorial guides, and access detailed reviews and ratings sourced from professional coverage.

Endpoint and access

No sign-in to connect and list tools. Individual tools may still need a vendor account, credentials, or permissions; check the documented prerequisites.

NYCfoodie MCP logo, by tireniajiloreCommunity listingStreamable HTTPNo sign-inEndpoint checked 2026-11-07Published by tireniajilore
MCP endpoint (Streamable HTTP)
https://nycfoodie-production.up.railway.app/mcp
Vendor documentation

What its tools do

8 tools, grouped by the hints the server advertises. Hints are self-declared, not verified behavior.

Read-only (7)

Can change data (1)

8 of 8 have a description · 8 of 8 declare behavior hints · 8 of 8 with parameters document them all

Checks and signals

Each line is separate evidence, not a trust score.

  • Passed Endpoint answered the live check ·
  • Availability 1 of 1 checks passed in 30 days

What you can do with it

  • Search venues by cuisine, neighbourhood or occasion
  • Compare shortlists side by side
  • Pull ranked editorial guides
  • Access detailed reviews and ratings

Source and maintenance

Community listingRegistry 1.0.0
mcp-registry: io.github.tireniajilore/nycfoodie@1.0.0Source repositoryProject website
Maintenance checked

Protocol and capabilities

Server
nycfoodie 0.1.0
MCP protocol negotiated in check
2025-11-25
Tools
8 advertised
Resources
Not advertised
Resource templates
Not advertised
Prompts
Not advertised
Server-advertised capabilities
{
  "tools": {
    "listChanged": true
  }
}

Tools

8 advertised

search_restaurants
Advertised by the server during the last successful anonymous check.
Advertised read-only

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.

search_restaurants input schema
{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "city"
  ],
  "properties": {
    "lat": {
      "type": "number",
      "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."
    },
    "lng": {
      "type": "number",
      "description": "Longitude for proximity search. Must be given together with lat; radius_km defaults to 5 km when omitted."
    },
    "city": {
      "type": "string",
      "description": "City slug, always required. Currently 'new-york', covering the five boroughs plus the immediate metro (within 30 km of Manhattan)."
    },
    "sort": {
      "enum": [
        "rating",
        "guides"
      ],
      "type": "string",
      "description": "Sort by rating (default) or guide appearances"
    },
    "limit": {
      "type": "integer",
      "maximum": 50,
      "minimum": 1,
      "description": "Max results (default 10)"
    },
    "query": {
      "type": "string",
      "description": "Free text, e.g. 'date-night Italian'"
    },
    "cuisine": {
      "type": "string",
      "description": "e.g. 'Italian', 'ramen'"
    },
    "occasion": {
      "type": "string",
      "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."
    },
    "radius_km": {
      "type": "number",
      "description": "Search radius in kilometres (default 5 when lat/lng are given without it). Requires lat and lng.",
      "exclusiveMinimum": 0
    },
    "min_rating": {
      "type": "number",
      "maximum": 10,
      "minimum": 0,
      "description": "Minimum Infatuation rating"
    },
    "price_tier": {
      "type": "integer",
      "maximum": 4,
      "minimum": 1,
      "description": "1 ($) to 4 ($$$$)"
    },
    "neighborhood": {
      "type": "string",
      "description": "e.g. 'West Village', or a borough like 'Brooklyn'"
    },
    "include_closed": {
      "type": "boolean",
      "description": "Include known-closed venues (default false)"
    }
  }
}
search_restaurants annotations
{
  "readOnlyHint": true
}
get_restaurant
Advertised by the server during the last successful anonymous check.
Advertised read-only

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.

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

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.

compare_restaurants input schema
{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "city"
  ],
  "properties": {
    "ids": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 5,
      "minItems": 2,
      "description": "Alias for restaurants"
    },
    "city": {
      "type": "string",
      "description": "City slug, always required. Currently 'new-york', covering the five boroughs plus the immediate metro (within 30 km of Manhattan)."
    },
    "restaurants": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 5,
      "minItems": 2,
      "description": "Restaurant ids or names to compare"
    }
  }
}
compare_restaurants annotations
{
  "readOnlyHint": true
}
find_guides
Advertised by the server during the last successful anonymous check.
Advertised read-only

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.

find_guides input schema
{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "city"
  ],
  "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)."
    },
    "limit": {
      "type": "integer",
      "maximum": 50,
      "minimum": 1,
      "description": "Max results (default 10)"
    },
    "query": {
      "type": "string",
      "description": "Theme, e.g. 'best ramen', 'date night'"
    },
    "include_entries": {
      "type": "boolean",
      "description": "Set false to return guide metadata without the ranked entry blurbs (default true)"
    }
  }
}
find_guides annotations
{
  "readOnlyHint": true
}
find_similar
Advertised by the server during the last successful anonymous check.
Advertised read-only

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.

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

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.

guide_consensus input schema
{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "city"
  ],
  "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)."
    },
    "limit": {
      "type": "integer",
      "maximum": 50,
      "minimum": 1,
      "description": "Max results (default 10)"
    },
    "theme": {
      "type": "string",
      "description": "Guide theme, e.g. 'ramen', 'brunch'"
    }
  }
}
guide_consensus annotations
{
  "readOnlyHint": true
}
top_rated
Advertised by the server during the last successful anonymous check.
Advertised read-only

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.

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

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.

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

Prompts

Not advertised

No prompt definitions available.

Resources

Not advertised

No resource definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
1228 ms
95th percentile latency
1228 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 1228 ms · metadata changed · 8 tool(s)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http nycfoodie-mcp https://nycfoodie-production.up.railway.app/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add nycfoodie-mcp --url https://nycfoodie-production.up.railway.app/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable nycfoodie-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "nycfoodie-mcp": {
      "url": "https://nycfoodie-production.up.railway.app/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "nycfoodie-mcp": {
      "type": "streamableHttp",
      "url": "https://nycfoodie-production.up.railway.app/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start nycfoodie-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "nycfoodie-mcp": {
      "type": "http",
      "url": "https://nycfoodie-production.up.railway.app/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http nycfoodie-mcp https://nycfoodie-production.up.railway.app/mcp

Claude Desktop

Open Claude Settings > Connectors > Add custom connector, enter this server URL and enable it for the conversation. This is a manual remote-connector handoff, not a desktop JSON configuration.
Claude Desktop configuration
https://nycfoodie-production.up.railway.app/mcp

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "nycfoodie-mcp": {
      "serverUrl": "https://nycfoodie-production.up.railway.app/mcp"
    }
  }
}

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