io.github.tireniajilore/nycfoodie · v1.0.0 · agents-and-memory
NYCfoodie is healthy: it completed an MCP handshake in 1229 ms and exposes 8 tools.
Editorial NYC restaurant recommendations for AI agents: search, compare, guides, ratings.
Endpoint: https://nycfoodie-production.up.railway.app/mcp (streamable-http)
Repository · Website · JSON · Add to my inventory
| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 8 |
| Latency | 1229 ms |
| Last checked (UTC) | 2026-10-16T17:05:41.068Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-16T17:05:41.068Z | Healthy | 1229 | |
| 2026-10-15T11:05:15.559Z | Healthy | 1033 |
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, review prose and g |
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 excerpts (guide title |
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 to list guide titles |
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); get_restaurant's gu |
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. |