io.github.tireniajilore/nycfoodie
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Publisher-provided title
NYCfoodie
Publisher-provided description
Editorial NYC restaurant recommendations for AI agents: search, compare, guides, ratings.
Summary by lookupd
Search, compare and rank NYC restaurants by rating, price, neighbourhood and curated guides, plus find similar places and log feedback.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http nycfoodie https://nycfoodie-production.up.railway.app/mcp
Codex, remote (streamable-http)
codex mcp add nycfoodie --url https://nycfoodie-production.up.railway.app/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"nycfoodie": {
"url": "https://nycfoodie-production.up.railway.app/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (8 tools)
Publisher-provided text
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 dget_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 ecompare_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, efind_guidesFind curated editorial guides (ranked lists) matching a theme, e.g. 'best ramen'. Returns each guide with its ranked entries, blurbs and linked restaurants. Usefind_similarFind restaurants similar to a named one, scored by shared cuisine, occasion and neighbourhood tags, price-tier proximity and guide co-occurrence. Use for 'likeguide_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 findtop_ratedList the highest-rated restaurants (Infatuation 0–10 scale), with optional cuisine, neighbourhood and price filters. Use for 'best in the city' requests. Differsubmit_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
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 397 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/tireniajilore/nycfoodie
- Website: https://github.com/tireniajilore/nycfoodie
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- Last crawl: 2026-11-11T19:17:20.153Z
- API base:
https://api.lookupd.com - MCP URL:
https://api.lookupd.com/mcp