I use points and miles for most of my travel. Every booking comes down to the same decision: use points or pay cash? To answer that, you need award availability across multiple programs, cash prices, your current balances, transfer partner ratios, and the math to compare them. I got tired of doing it manually across a dozen tabs.This toolkit teaches Claude Code and OpenCode how to do it. 7 skills (markdown files with API docs and curl examples) and 6 MCP servers (real-time tools the AI calls directly).It searches award flights across 25+ mileage programs (Seats.aero), compares cash prices (Google Flights, Skiplagged, Kiwi.com, Duffel), pulls your loyalty balances (AwardWallet), searches hotels (Trivago, LiteAPI, Airbnb, Booking.com), finds ferry routes across 33 countries, and looks up weird hidden gems near your destination (Atlas Obscura).Reference data is included: transfer partner ratios for Chase UR, Amex MR, Bilt, Capital One, and Citi TY. Point valuations sourced from TPG, Upgraded Points, OMAAT, and View From The Wing. Alliance membership, sweet spot redemptions, booking windows, hotel chain brand lookups.5 of the 6 MCP servers need zero API keys. Clone, run setup.sh, start
searching.Skills are, as usual, plain markdown. They work in OpenCode and Claude Code automatically (I added a tiny setup script), and they'll work in anything else that supports skills.PRs welcome! Help me expand the toolkit! :)https://github.com/borski/travel-hacking-toolkit
Show HN: Travel Hacking Toolkit – Points search and trip planning with AI
An AI-powered toolkit that teaches Claude Code and OpenCode to automate complex travel hacking decisions, integrating multiple data sources for award availability, cash prices, loyalty balances, and more.
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AI Executive Synthesis
An AI-powered toolkit that teaches Claude Code and OpenCode to automate complex travel hacking decisions, integrating multiple data sources for award availability, cash prices, loyalty balances, and more.
The Travel Hacking Toolkit leverages AI to automate a highly complex, data-intensive personal finance niche. It directly addresses the significant pain point of manually comparing disparate data points (award availability, cash prices, loyalty balances, transfer ratios) across numerous platforms. By integrating '7 skills' and '6 MCP servers' with Claude Code and OpenCode, it demonstrates a practical application of AI agents for complex decision-making. The comprehensive data sources and reference data included highlight a deep understanding of the travel hacking domain. Market implications include democratizing access to advanced travel optimization strategies, potentially disrupting traditional travel agencies or manual planning services. This showcases AI's capability to synthesize vast amounts of real-time and reference data for personalized, high-value outcomes, moving beyond simple queries to complex, multi-variable problem-solving.
Community Voice & Feedback
Claude itself advertises this application. https://claude.com/resources/use-cases/create-a-daily-travel...
Excellent stuff, excited to try it out for an upcoming trip.
Just sent this to my partner. He’s super into travel hacking and this will be a nice add to his toolkit.
Nice work :)There's such a huge world of agentic automation out there outside of the hype cycle that is OpenClaw. Glad to see you putting this out there
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