RowHint Seat Intelligence
Airline seat quality scores (1-10) via MCP. 5 tools: get seat score, find best seats, compare seats, config overview, and windowless seat detection. 66+ hand-verified aircraft configs across 10 US airlines including AA, DL, UA, WN, B6, AS. Every score verified against live airline seat maps. No API key required. The only MCP server with per-seat numerical quality scores. Connect at mcp.rowhint.com/mcp
Overview
RowHint Seat Intelligence is an MCP server offering five tools for programmatic seat evaluation in venues like theaters, airplanes, or events. It enables querying seat quality metrics, optimal selections, and venue details without manual lookups.
Key Capabilities
- rowhint_get_seat_score: Retrieves a numerical score for a specific seat based on factors like view, proximity, or comfort.
- rowhint_get_best_seats: Returns a list of top-ranked seats matching user criteria such as section or group size.
- rowhint_compare_seats: Compares multiple seats side-by-side on score, features, and attributes.
- rowhint_get_config_overview: Fetches venue layout, capacity, and seating configuration details.
- rowhint_get_windowless_seats: Lists seats without windows, useful for light-sensitive or privacy-focused scenarios.
Use Cases
- A ticketing app developer calls rowhint_get_best_seats and rowhint_get_seat_score to rank and display optimal seats for users buying groups tickets.
- Venue staff uses rowhint_compare_seats during event setup to assign seats balancing accessibility and premium views.
- Airline integration queries rowhint_get_windowless_seats and rowhint_get_config_overview for passenger preferences on long flights.
- Data analysts run rowhint_get_seat_score across sections to generate heatmaps for venue improvement reports.
Who This Is For
Developers building ticketing or reservation APIs, venue operators analyzing layouts, event planners optimizing assignments, and data analysts processing seating data.