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gondola-ai/gondola-mcp

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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

#award-travel #claude #flights #gemini-cli-extension #hotels #loyalty #mcp #miles

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_hotels
  • compare_rates
  • get_hotel_details
  • get_multi_night_rates
  • get_similar_hotels
  • get_hotel_stats
  • get_hotel_reviews
  • predict_price
  • get_suggested_searches
  • get_booking_link
  • search_flights
  • search_events
  • search_vehicles
  • get_vehicle_details
  • credit_card_coverage
  • get_vehicle_booking_coverage
  • get_vehicle_booking_link
  • diagnose_rates
  • book_hotel
  • book_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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