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NYCfoodie

io.github.tireniajilore/nycfoodie · v1.0.0

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

Connect Remote server

Terminal
claude mcp add --transport http nycfoodie https://nycfoodie-production.up.railway.app/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "nycfoodie": {
      "url": "https://nycfoodie-production.up.railway.app/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "nycfoodie": {
      "type": "http",
      "url": "https://nycfoodie-production.up.railway.app/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://nycfoodie-production.up.railway.app/mcp

Tools 8 found in our last check

  • 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, tag…

  • 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…

  • 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…

  • 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.

Details

Endpointhttps://nycfoodie-production.up.railway.app/mcp (Streamable HTTP)
First published19 Sep 2026
Last updated19 Sep 2026
Registry nameio.github.tireniajilore/nycfoodie

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