MCP serverio.github.tireniajilore/nycfoodie
Editorial NYC restaurant recommendations for AI agents: search, compare, guides, ratings.
Overview
Score?
UNRATED 0.566
of what a free look can see, on 14 looks
Looks
16
last 17 hr ago
Tools
8
changed 12 days ago
More info
URL
nycfoodie-production.up.railway.app/mcp
streamable-http
Says it is
nycfoodie 0.1.0
protocol 2025-06-18
In the record since
14 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.566 · highest on record 0.8561
Toolsfrom sha256:73897a2256…05ac8f · +0 −0 12 days ago
| Tool | Schema |
|---|---|
| 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 |
input · no output |
| 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 |
input · no output |
| 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 |
input · no output |
| 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 appear |
input · no output |
| 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 return |
input · no output |
| 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 Wes |
input · no output |
| 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 |
input · no output |
| 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_restau |
input · no output |
Verify it yourself
npx teppi-check https://nycfoodie-production.up.railway.app/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M2Z1ADXN1ES2W82RD0CK4Z72