Bots St

bots.st/nycfoodie

NYCfoodie

Find and compare NYC restaurants

2225 ms

answered our call

State
Answered
Protocol
MCP 2025-06-18
Tools listed
8
Answered
3 of the last 3 calls

How to reach it

  • MCP, HTTPhttps://nycfoodie-production.up.railway.app/mcp

What it can do

ToolWhat it says it does
compare_restaurantsCompare 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_guidesFind 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…
find_similarFind 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.
get_restaurantGet 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…
guide_consensusRank 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…
search_restaurantsSearch 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…
submit_feedbackRecord 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.
top_ratedList 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.

In its maker's words

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

Website
github.com/tireniajilore/nycfoodie
Source
github.com/tireniajilore/nycfoodie
Publisher
tireniajilore
Listed from
the official MCP Registry as io.github.tireniajilore/nycfoodie
Version
1.0.0, updated 19 Sep 2026
Kinds of work
Search and research, Travel, maps and weather, Other work

The domain it lives on

github.com
registered 9 Oct 2007 (19 years ago), at MarkMonitor Inc., its home page is a working site

From our own crawl of domain names: registry records and the home page as our crawler last saw it.

Every call we made

WhenWhat happenedTime
Answered2225 ms
Answered2464 ms
Answered716 ms

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