Search / io.github.tireniajilore/nycfoodie
protogridR0· no sign-inEditorial NYC restaurant recommendations for AI agents: search, compare, guides, ratings.
v1.0.0 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"nycfoodie": {
"type": "http",
"url": "https://nycfoodie-production.up.railway.app/mcp"
}
}
}claude mcp add --transport http nycfoodie https://nycfoodie-production.up.railway.app/mcp[mcp_servers.nycfoodie]
url = "https://nycfoodie-production.up.railway.app/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"nycfoodie": {
"type": "remote",
"url": "https://nycfoodie-production.up.railway.app/mcp",
"enabled": true
}
}
}{
"mcpServers": {
"nycfoodie": {
"type": "http",
"url": "https://nycfoodie-production.up.railway.app/mcp"
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=nycfoodie&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbnljZm9vZGllLXByb2R1Y3Rpb24udXAucmFpbHdheS5hcHAvbWNwIn0%3D"
}{
"servers": {
"nycfoodie": {
"type": "http",
"url": "https://nycfoodie-production.up.railway.app/mcp"
}
}
}{
"mcpServers": {
"nycfoodie": {
"httpUrl": "https://nycfoodie-production.up.railway.app/mcp"
}
}
}extensions:
"nycfoodie":
enabled: true
name: "nycfoodie"
type: streamable_http
uri: "https://nycfoodie-production.up.railway.app/mcp"
timeout: 300
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28protocol.statelessonly applies to 2026-07-28 serversprotocol.transportstreamable HTTPprotocol.list_ttlonly applies to 2026-07-28 serversauth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptionsevery tool has a descriptiontools.description_length1 tools have descriptions over 1,024 characters, which crowds the contexttools.schemasevery tool has an object input schematools.annotations8 of 8 tools declare readOnlyHint or destructiveHinttools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: get_restaurant (destructiveHint, idempotentHint, openWorldHint); compare_restaurants (destructiveHint, idempotentHint, openWorldHint); find_similar (destructiveHint, idempotentHint, openWorldHint); …tools.token_costabout 2,610 tokens to load every tooltools.api_dumptools are not a one-to-one API dumpstability.changesno tool changes in 30 daysstability.rug_pullno tool changed its meaning under the same namedeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo +website +reachable +uptime-100% ~updated-31d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://nycfoodie-production.up.railway.app/mcp streamable-http | none | yes | 100% | 259 ms | 2025-11-25 | 2026-10-20 |
compare_restaurantsread-only | 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_guidesread-only | 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 to list guide titles and metadata without pulling every entry blurb. |
find_similarread-only | 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. |
get_restaurantread-only | 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 excerpts (guide title, URL, position, blurb, captured_at) for any venue with Eater guide entries — Eater-only venues have no rating or price, only this prose plus tags. Full review prose is opt-in via include_prose (default: headline and summary only). review.headline is the source's actual headline when one exists, otherwise null — use review.summary for the descriptive text. match_type is 'exact' when the id or name matched verbatim, 'fuzzy' when it was resolved from a partial/typo'd name — never present a fuzzy match as the venue the user named without saying so. booking is null when the source has no booking intel (not the same as walk-in-only); a reservation link alone never implies a booking policy. data_as_of is the dataset vintage and crawled_at is when this venue was last crawled — caveat fast-decaying claims (closures especially) when these are old. |
guide_consensusread-only | 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); get_restaurant's guide_appearances is the full entry list. |
search_restaurantsread-only | 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, review prose and guide blurbs (e.g. 'cacio e pepe'). Returns compact matches with Infatuation rating (0–10), price tier, address_line and tags. Cards carry guide_appearance_count (a number); get_restaurant's guide_appearances is the full entry list. Known-closed venues are excluded by default. Coverage for city='new-york' is the five boroughs plus the immediate metro (within 30 km of Manhattan). With no query or filters, returns the highest-rated venues. |
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. |
top_ratedread-only | 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. |
Schemas: list_tools.
{
"name": "io.github.tireniajilore/nycfoodie",
"title": "NYCfoodie",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://nycfoodie-production.up.railway.app/mcp",
"type": "streamable-http"
}
],
"version": "1.0.0",
"repository": {
"url": "https://github.com/tireniajilore/nycfoodie",
"source": "github"
},
"websiteUrl": "https://github.com/tireniajilore/nycfoodie",
"description": "Editorial NYC restaurant recommendations for AI agents: search, compare, guides, ratings."
}