gondola-ai/gondola-mcp
by Various
Cash-vs-award travel search MCP — hotels, flights, and rental cars across every major loyalty program, with cents-per-point valuations, loyalty tracking, and direct booking.
MCP
gondola-ai/gondola-mcp
Added 3 Sept 2026
Overview
MCP server that searches hotels, flights, and rental cars across major loyalty programs. It provides cents-per-point valuations, loyalty tracking, and direct booking links. Built in JavaScript for use with MCP-compatible AI assistants.
Best for
Best for
Developers building AI travel assistants that need loyalty-aware search.
Use cases
- Find award availability for flights and hotels
- Compare cash vs points value for a trip
- Track loyalty program balances and valuations
How to use
Tools exposed
search_hotelscompare_ratesget_hotel_detailsget_multi_night_ratesget_similar_hotelsget_hotel_statsget_hotel_reviewspredict_priceget_suggested_searchesget_booking_linksearch_flightssearch_eventssearch_vehiclesget_vehicle_detailscredit_card_coverageget_vehicle_booking_coverageget_vehicle_booking_linkdiagnose_ratesbook_hotelbook_vehicle
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, ChatGPT
Notes
MCP server that searches hotels, flights, and rental cars across major loyalty programs. It provides cents-per-point valuations, loyalty tracking, and direct booking links. Built in JavaScript for use with MCP-compatible AI assistants.
8 stars on GitHub. Last updated 2026-08-25. Licensed MIT.
Use cases
- Find award availability for flights and hotels
- Compare cash vs points value for a trip
- Track loyalty program balances and valuations
Pros
- Covers multiple loyalty programs in one interface
- Provides concrete point valuations to compare options
- Works with MCP-compatible assistants for natural language queries
Cons
- Very early stage with few GitHub stars
- Requires an MCP client to be useful
- No details on supported loyalty programs or data sources
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Covers multiple loyalty programs in one interface
- Provides concrete point valuations to compare options
- Works with MCP-compatible assistants for natural language queries
Cons
- Very early stage with few GitHub stars
- Requires an MCP client to be useful
- No details on supported loyalty programs or data sources
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