# Tireniajilore Nycfoodie MCP server

Source: https://glimind.com/server/mcp-registry%2Fio.github.tireniajilore%2Fnycfoodie
Registry id: `mcp-registry/io.github.tireniajilore/nycfoodie`
Status: live (checked 2026-10-27T07:18:07.830Z)

## Verdict

Tireniajilore Nycfoodie MCP server answered 99.95% of Glimind's liveness checks over 30 days, better than 35% of MCP servers, with 579 ms median handshake and 1 outage in 90 days. Its agent-readiness grade is A (96/100) across 8 tools, costing an agent about 2,697 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 99.95% | 35% of MCP servers |
| Median handshake latency | 579 ms | 40% of MCP servers |
| p95 handshake latency | 2462 ms | — |
| Checks in 30 days | 4,984 | — |
| Outages, 90 days | 1 | — |
| Median recovery | 15 min | — |
| Agent-readiness score | 96/100 (A) | 82% of MCP servers |
| Tools | 8 | — |
| Tool-list size for an agent | ~2,697 tokens | 48% of MCP servers |
| Days observed | 29 | — |

## Install

```json
{
  "mcpServers": {
    "tireniajilore-nycfoodie-mcp-server": {
      "type": "http",
      "url": "https://nycfoodie-production.up.railway.app/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http tireniajilore-nycfoodie-mcp-server https://nycfoodie-production.up.railway.app/mcp
```

## Tools (8)

- `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
- `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
- `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 
- `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 e
- `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
- `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 d
- `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 
- `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. Differ

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.