# RowHint

> RowHint — rowhint-ntm5-rowhint. Use this tool when you need to provide airline seat quality intelligence, such as per-seat scores and plain-English notes, to help travelers make informed decisions. It solves problems like finding the best seat on a flight, comparing seat options, and optimizing seat assignments, with inputs including airline, aircraft configuration, and seat location, and outputs including quality scores and detailed notes. Use it in contexts like travel planning, booking tools, and personalized recommendations for travelers.

Canonical page: https://skillsregistry.net/skills/rowhint-ntm5-rowhint  
JSON: https://api.skillsregistry.net/v1/skills/rowhint-ntm5-rowhint

## Description

# RowHint MCP Server

Airline seat quality intelligence via MCP. Per-seat quality scores (1-10) with plain-English notes for **66+ aircraft configurations** across 10 US airlines. Every score is hand-verified against live airline seat maps.

## Setup

Add to your Claude Desktop config:

```json
{
  "mcpServers": {
    "rowhint": {
      "url": "https://mcp.rowhint.com/mcp"
    }
  }
}
```

No API key required. All 5 tools are free.

## Key Features

- Per-seat quality scores (1-10) with transparent methodology
- Plain-English notes explaining why each seat scores the way it does
- Best seat finder filtered by cabin class
- Side-by-side seat comparison with score differences and summary
- Windowless window seat detection
- 66+ hand-verified configs across AA, DL, UA, WN, B6, AS, HA, F9, NK, G4

## Available Tools

1. **`rowhint_get_seat_score`** — Get quality score and notes for a specific seat
2. **`rowhint_get_best_seats`** — Find the highest-rated seats by cabin class
3. **`rowhint_compare_seats`** — Compare two seats side by side
4. **`rowhint_get_config_overview`** — Get full seat map overview for an aircraft
5. **`rowhint_get_windowless_seats`** — Find window seats that actually have no window

## Use Cases

- Travelers asking AI assistants "What's the best seat on my Delta A321neo flight?"
- Travel app developers adding seat quality data to booking tools
- AI travel agents making personalized seat recommendations
- Corporate travel tools optimizing seat assignments

## FAQ

**Does it cover international airlines?**
Not yet — currently covers 10 US airlines. International carriers are on the roadmap.

**How are scores calculated?**
Each seat is scored 1-10 based on legroom, recline, proximity to galley/lavatory, window alignment, and hardware. Full methodology at [rowhint.com](https://rowhint.com).

**Is an API key required?**
No. All tools are free with no authentication required.

**How often is the data updated?**
Configurations are hand-verified against live airline booking sites and updated when airlines change their layouts.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-07-10

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/rowhint-ntm5/RowHint)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rowhint-ntm5-rowhint"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rowhint-ntm5-rowhint` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rowhint-ntm5-rowhint/pull`

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