NYCfoodie
by nycfoodie-production.up.railway.app in Search & web
Editorial NYC restaurant recommendations for AI agents: search, compare, guides, ratings.
https://nycfoodie-production.up.railway.app/mcp
Last 30 days
- 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
| When | Result | HTTP | Time |
|---|---|---|---|
| 8 h ago | Passed | 200 | 340 ms |
| 17 h ago | Passed | 200 | 371 ms |
| 27 h ago | Passed | 200 | 339 ms |
| 37 h ago | Passed | 200 | 460 ms |