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100
MCP live MCP 2025-11-25 streamable-http

NYCfoodie

io.github.tireniajilore/nycfoodie

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

Watch this dependency Share evidence report
Uptime
100.0%
5 direct probes · 30d
Response
856ms
last probe
Tools
8
callable
Resources
0
readable
Prompts
0
available
Primary URL
https://nycfoodie-production.up.railway.app/mcp
Score: 100/100
Handshake verified by our own probe.
pass Answers the MCP handshake 50/50
The handshake and the list calls succeeded on the primary URL.
pass Lists tools, resources or prompts 30/30
8 tools, 0 resources, 0 prompts returned.
pass 3 or more catalogue items 10/10
8 items in total; 3 or more earns these points.
pass Describes itself 10/10
89 characters; more than 30 earns these points.

Tools · 8

search_restaurants

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 n…

get_restaurant

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 u…

compare_restaurants

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 compa…

find_guides

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…

find_similar

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.

guide_consensus

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…

top_rated

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 …

submit_feedback

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 feedbac…

How to use

Claude Desktop or claude.ai: add a custom connector (Customize → Connectors; on Team and Enterprise plans an owner adds it under Organization settings → Connectors) with this server URL: https://nycfoodie-production.up.railway.app/mcp

Cursor or Cline: add to your MCP config:

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