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NYCfoodie

Official registry Search and web

Editorial NYC restaurant recommendations for AI agents: search, compare, guides, ratings.

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http nycfoodie 'https://nycfoodie-production.up.railway.app/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "nycfoodie": {
            "type": "http",
            "url": "https://nycfoodie-production.up.railway.app/mcp"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. NYCfoodie
  2. Use it
  3. Layout
  4. Quickstart
  5. Roadmap
  6. Conventions

NYCfoodie

The data layer for restaurant taste: structured, editorial restaurant recommendations served to AI agents over MCP. Not another review scraper — curated guides and reviews normalised into one schema, queryable by tools.

MVP city: New York. The city is a parameter everywhere; nothing NYC-specific is hardcoded.

Use it

Hosted endpoint (Streamable HTTP): https://nycfoodie-production.up.railway.app/mcp

  • Cursor — one-click install
  • Claude Code — claude mcp add --transport http nycfoodie https://nycfoodie-production.up.railway.app/mcp
  • Windsurf / Cline / Roo Code / Zed / VS Code — add to your MCP config:
{
  "mcpServers": {
    "nycfoodie": {
      "url": "https://nycfoodie-production.up.railway.app/mcp"
    }
  }
}
  • Claude (app) — Settings → Connectors → Add custom connector → paste the URL.
  • Any MCP client — add the URL above as a remote server (Streamable HTTP). No auth, no install.
Tools

search_restaurants · get_restaurant · compare_restaurants · find_guides · find_similar · guide_consensus · top_rated · submit_feedback

Layout

  • db/ — SQLite storage (better-sqlite3) with numbered SQL migrations written in Postgres-compatible DDL. The migration runner is dialect-agnostic by convention, so a Postgres adapter can replace better-sqlite3 later without touching the migrations.
  • crawler/ — source adapters (starting with The Infatuation) that normalise into the db schema. Endpoint/field mapping: docs/infatuation-data-surface.md (step 2).
  • mcp/ — stdio MCP server (@modelcontextprotocol/sdk) exposing search, detail, comparison and guide tools.

Quickstart

npm install
npm run typecheck
npm run build
node db/dist/migrate.js ./nycfoodie.db   # creates/opens the SQLite db, applies migrations
node mcp/dist/index.js                   # starts the MCP server on stdio

Roadmap

  1. Scaffold (done) — repo, packages, migration runner, stub MCP tools.
  2. Map The Infatuation's data surface — Next.js pages + GraphQL endpoints → docs/infatuation-data-surface.md.
  3. Database schema proposal — shown for approval before any crawler code is written.
  4. Crawler — only after schema sign-off.

Conventions

  • British English in docs and user-facing text.
  • Migrations: numbered NNN_name.sql, applied once in order; see db/migrations/README.md for the Postgres-compatibility rules.
  • Never commit *.db files or credentials.

Frequently asked questions

What is NYCfoodie?

Editorial NYC restaurant recommendations for AI agents: search, compare, guides, ratings.

How do I install NYCfoodie?

It runs as a remote server. In Claude Code: claude mcp add --transport http nycfoodie 'https://nycfoodie-production.up.railway.app/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does NYCfoodie need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is NYCfoodie open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains NYCfoodie?

It is published by tireniajilore. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.