85trust / 100

NYCfoodie

by nycfoodie-production.up.railway.app in Search & web

MCP serverPassing, checked 8 h ago

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

https://nycfoodie-production.up.railway.app/mcp

Last 30 days

All checks passedSome failedAll failedNot checked
Uptime
100%
Response time
340 ms typical, 371 ms slowest 5%
Last check
8 h ago
Next check
any minute now

How to call it

Add it to any MCP client that supports remote servers.

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

8 tools

  • 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 near me') rather than naming a specific restaurant. Free text matches names, tags

  • 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 user names a specific restaurant. editorial_blurbs carries verbatim Eater guide e

  • 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 compare four options on a budget.

  • 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 themselves rather than individual restaurant picks. Set include_entries=false t

  • 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, not the guides themselves. Each row carries guide_appearance_count (a number);

  • 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 query, strictly rating-ordered.

  • 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 feedback entry; it changes nothing the user sees.

Security scan

  • No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

WhenResultHTTPTime
8 h agoPassed200340 ms
17 h agoPassed200371 ms
27 h agoPassed200339 ms
37 h agoPassed200460 ms