# NYCfoodie Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## NYCfoodie

Search and compare NYC restaurants with editorial ratings, guides and recommendations.

- Record: https://musedirectory.ai/connector/nycfoodie
- Category: Lifestyle
- Developer: Tireina Jilore (https://github.com/tireniajilore/nycfoodie)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 243ms, checked 2026-09-28T07:45:52Z
- Endpoint: https://nycfoodie-production.up.railway.app/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-09-24T04:45:55Z)
- Source: Found in the official MCP Registry (io.github.tireniajilore/nycfoodie) https://registry.modelcontextprotocol.io/v0/servers?search=io.github.tireniajilore%2Fnycfoodie

Connects to Infatuation and Eater editorial restaurant data for NYC. Search by cuisine, neighborhood, occasion and price. Compare restaurants, find guides, get ratings and reservation links. Helps diners discover where to eat and make reservations.

Example request: "Find the best Italian restaurants for a date night in the West Village."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use NYCfoodie to help me. It is a free service with an MCP server at https://nycfoodie-production.up.railway.app/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

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.

Screening checks:
- MCP handshake: pass (Answered in 283ms)
- Domain against threat feeds (Cloudflare security DNS): pass (nycfoodie-production.up.railway.app, github.com not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (8 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (Domain registered 2610 days ago)
- AI review of purpose and tool behavior: pass (No concerns)