# com.rowhint/seat-intelligence

> Use this tool when you need to evaluate and compare airline seat quality across different US airlines. It provides scores (1-10) and detailed notes for 61+ configurations, helping you make informed decisions about seat selection. Ideal for travelers seeking optimal comfort and airlines looking to enhance passenger experience.

Canonical page: https://skillsregistry.net/skills/com-rowhint-seat-intelligence  
JSON: https://api.skillsregistry.net/v1/skills/com-rowhint-seat-intelligence

## Description

Airline seat quality scores (1-10) with notes. 61+ configs across 10 US airlines.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.rowhint%2Fseat-intelligence)

## Use it

MCP endpoint published by the skill: `https://mcp.rowhint.com/mcp`

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": "com-rowhint-seat-intelligence"
    }
  }
}
```

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

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