How do I install Nycfoodie?

Nycfoodie is a remote plugin. You do not need to install anything locally. Add the server URL to your AI app's MCP configuration and you are ready to go.

Is Nycfoodie safe to use?

Yes. Nycfoodie passed MCP Marketplace's automated security scan with a score of 10/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What AI apps work with Nycfoodie?

Nycfoodie uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Nycfoodie MCP Server

by Tireniajilore

Developer ToolsLow Risk10.0MCP RegistryRemote

Free

Server data from the Official MCP Registry

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

About

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

Remote endpoints: streamable-http: https://nycfoodie-production.up.railway.app/mcp

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (2 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

8 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Found in Source Code

Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.

database

Applies to the server that hosts this plugin, not to your machine.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Applies to the server that hosts this plugin, not to your machine.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-tireniajilore-nycfoodie": {
      "url": "https://nycfoodie-production.up.railway.app/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

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

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

Reviews

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4.8

Local

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