NYCfoodie
Search and compare NYC restaurants with editorial ratings, guides and recommendations.
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.
Try asking Muse: "Find the best Italian restaurants for a date night in the West Village."
Source: Found in the official MCP Registry (io.github.tireniajilore/nycfoodie) · First listed September 24, 2026
Last 24 hours
Each bar is one check, every 15 minutes. Green means it answered. Last checked 1 h ago.
Is it safe to connect?
What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.
Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.
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How to add it to Muse
Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. 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.
https://nycfoodie-production.up.railway.app/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Technical details: safety screening, tools, response time and recent checks
Response time at the last check: 243ms. Worked in 100% of checks over 30 days.
Screening · September 24, 2026
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
Tools · 8
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 date night in the West Village', 'ramen near me') rather than naming a specific restaurant. Free text matches names, tagsget_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 every guide it appears in. Use when the user names a specific restaurant. editorial_blurbs carries verbatim Eater guide 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, e.g. 'should I go to X or Y?' or to compare four options on a budget.find_guidesFind 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 tfind_similarFind 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_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 find_guides: this returns ranked restaurants, not the guides themselves. Each row carries guide_appearance_count (a number);top_ratedList 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_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 or wrong. Each call stores a new feedback entry; it changes nothing the user sees.Recent checks
Link
https://nycfoodie-production.up.railway.app/mcpQuestions about NYCfoodie in Muse
How do I connect NYCfoodie to Muse?
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.
Is NYCfoodie working right now?
At the last check (September 28, 2026, 07:45 UTC) the endpoint was working, answering in 243ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
Is NYCfoodie safe to connect to Muse?
It was screened on September 24, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
What can NYCfoodie do in Muse?
It exposes 8 tools, including search_restaurants, get_restaurant, compare_restaurants, find_guides. For example, you could ask Muse: "Find the best Italian restaurants for a date night in the West Village."
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This listing was added from public sources (Found in the official MCP Registry (io.github.tireniajilore/nycfoodie)). If you build NYCfoodie, claim it to correct the details and get your badge.
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<a href="https://musedirectory.ai/connector/nycfoodie"><img src="https://musedirectory.ai/badge/nycfoodie.svg" alt="NYCfoodie on musedirectory.ai" width="236" height="40"></a>