MCP server

Seat Intelligence

com.rowhint/seat-intelligence

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

At a glance

Type

MCP server

Publisher

rowhint.com (verified by the MCP Registry)

Status

Working at last check

Tools

8

Token cost

About 1,758 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http seat-intelligence https://mcp.rowhint.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.seat-intelligence]
url = "https://mcp.rowhint.com/mcp"

Gemini CLI

{"mcpServers":{"seat-intelligence":{"httpUrl":"https://mcp.rowhint.com/mcp"}}}

Cursor

{"mcpServers":{"seat-intelligence":{"url":"https://mcp.rowhint.com/mcp"}}}

VS Code

{"servers":{"seat-intelligence":{"type":"http","url":"https://mcp.rowhint.com/mcp"}}}

Antigravity

agy mcp add seat-intelligence https://mcp.rowhint.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"seat-intelligence","server_url":"https://mcp.rowhint.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"seat-intelligence","server_url":"https://mcp.rowhint.com/mcp"}

Tools

• rowhint_compare_seats ~202 tokens
  Compare two specific seats on the same aircraft side by side. Returns scores, notes, dimensions, and a recommendation for which seat is better. Use when someone asks "Should I pick 14A or 22F on the Southwest 737 MAX 8?" or is deciding between two seats.
• rowhint_get_best_seats ~223 tokens
  Find the highest-rated seats on a specific aircraft configuration. Filter by cabin class (economy, premium, business, first) and number of results. Use when someone asks "What's the best seat on the United 777?" or "Best economy seat on Delta A321neo?"
• rowhint_get_config_overview ~240 tokens
  Get a summary of an aircraft configuration including total seats, cabin layout, best and worst seats per cabin, and facility locations (galleys, lavatories). Use when someone asks "Tell me about the American Airlines 787-9" or wants a general overview before choosing a seat. Also use to discover val
• rowhint_get_seat_score ~217 tokens
  Get the quality score (1-10), color rating, and detailed notes for a specific airline seat. Returns comfort assessment, recline data, proximity warnings, and window alignment issues. Use when someone asks "Is seat 14A good on the Delta 737-800?" or wants to know about a specific seat before booking.
• rowhint_get_windowless_seats ~174 tokens
  List all window-position seats that have no actual window on a specific aircraft. These are seats labeled as window seats in airline booking systems but where the fuselage structure blocks the view. Use when someone asks about window seats, specifically wants to avoid windowless positions, or is cho
• rowhint_help_me_pick ~179 tokens
  Conversational seat picker. Asks the user a few structured questions (flight, route length, what they care most about, cabin class), then returns the top 3 seat recommendations with notes. Use this when someone wants help choosing but hasn't specified a seat or even which aircraft — the tool walks t
• rowhint_pick_seat ~326 tokens
  Get the best seat recommendations for a specific flight. Takes a flight number (e.g., "UA1234", "DL567") and optionally cabin class, seat position preference (window/aisle), and priority (legroom/recline/quiet). Returns top picks with scores and notes, seats to avoid, aircraft info, and a confidence
• rowhint_seat_roast ~197 tokens
  Roasts a specific airline seat. Returns a one-paragraph, voice-y takedown of the seat based on its quality score, proximity issues, recline/legroom data, and any notes. Use when someone asks 'how bad is seat 31B on the United 787-9?' — they want the unvarnished truth, not a neutral lookup.

Browse

• Booking and scheduling
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