NYCfoodie is a remote MCP server that gives an AI agent 8 tools, among them compare_restaurants, find_guides, find_similar. It answers at https://nycfoodie-production.up.railway.app/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 4 of 4 times since 23 September 2026; the last check, on 6 November 2026, succeeded.
Editorial NYC restaurant recommendations for AI agents: search, compare, guides, ratings.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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. Inputs: restaurants, ids, city |
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 resta Inputs: city, query, limit, include_entries |
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. Inputs: id, name, city, limit |
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. editori Inputs: id, name, city, include_prose |
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 ca Inputs: city, theme, limit |
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 r Inputs: query, city, cuisine, neighborhood, occasion, min_rating |
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 see Inputs: tool, rating, comment |
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. Inputs: city, cuisine, neighborhood, occasion, min_rating, price_tier |
Every block below points at https://nycfoodie-production.up.railway.app/mcp. Pick your client and copy.
claude mcp add --transport http nycfoodie https://nycfoodie-production.up.railway.app/mcp
{
"mcpServers": {
"nycfoodie": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://nycfoodie-production.up.railway.app/mcp"]
}
}
}{
"mcpServers": {
"nycfoodie": {
"url": "https://nycfoodie-production.up.railway.app/mcp"
}
}
}{
"servers": {
"nycfoodie": {
"type": "http",
"url": "https://nycfoodie-production.up.railway.app/mcp"
}
}
}{
"context_servers": {
"nycfoodie": {
"url": "https://nycfoodie-production.up.railway.app/mcp"
}
}
}{
"mcpServers": {
"nycfoodie": {
"serverUrl": "https://nycfoodie-production.up.railway.app/mcp"
}
}
}{
"mcpServers": {
"nycfoodie": {
"url": "https://nycfoodie-production.up.railway.app/mcp"
}
}
}name: NYCfoodie
version: 0.0.1
schema: v1
mcpServers:
- name: NYCfoodie
type: streamable-http
url: https://nycfoodie-production.up.railway.app/mcp{
"mcpServers": {
"nycfoodie": {
"httpUrl": "https://nycfoodie-production.up.railway.app/mcp"
}
}
}{
"mcpServers": {
"nycfoodie": {
"type": "http",
"url": "https://nycfoodie-production.up.railway.app/mcp"
}
}
}{
"mcpServers": {
"nycfoodie": {
"url": "https://nycfoodie-production.up.railway.app/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fnycfoodie-production.up.railway.app%2Fmcp&type=streamable_http&id=nycfoodie&name=NYCfoodie
It answered our last check on 6 November 2026 in 278 ms. Over 4 checks since 23 September 2026 it answered 4. Status here comes from Neuronto's own probes, not from the publisher.
8, as returned by the server's own tools/list on 11 November 2026: compare_restaurants, find_guides, find_similar, get_restaurant, guide_consensus, search_restaurants, submit_feedback, top_rated.
It answered our last check on 6 November 2026 in 278 ms. Over 4 checks since 23 September 2026 it answered 4.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://nycfoodie-production.up.railway.app/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.tireniajilore. Endpoint host: nycfoodie-production.up.railway.app. ARD identifier: urn:air:io.github.tireniajilore:mcp:nycfoodie.
First indexed 20 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.