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
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 Required
This plugin requests these system permissions. Most are normal for its category.
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 GitHubFrom 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; seedb/migrations/README.mdfor the Postgres-compatibility rules. - Never commit
*.dbfiles or credentials.
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