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flyai

Search flights, hotels, attractions, and travel deals via FlyAI MCP services.

Updated May 4, 2026
Search Tags:#flight booking#mcp integration#cli tooling#hotel comparison#itinerary planning#travel search#semantic query
One-click install
npx skills add https://github.com/234194027-cpu/xianclaw --skill flyai-234194027-cpu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: flyai
Source: https://github.com/234194027-cpu/xianclaw/tree/main/resources/openclaw/config/skills/flyai
Command: npx skills add https://github.com/234194027-cpu/xianclaw --skill flyai-234194027-cpu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

FlyAI removes the effort of manually searching across flights, hotels, attractions, and travel deals by turning travel questions into structured results that are ready to compare and book.

Core Features & Use Cases

  • Real-time travel search via FlyAI CLI: supports flight search, hotel search, POI/attraction search, train search, and AI-assisted semantic search for travel intent.
  • Booking-ready output: returns item data with image and booking link fields so users can take action immediately.
  • Scenario coverage: supports common trip goals like weekend getaways, family trips, business travel, honeymoons, and visa/document-related travel queries.
  • Use case example: Planning a 3-day trip to Sanya with a hotel near attractions, then comparing flight options and booking the top picks based on budget and dates.

Quick Start

Ask the assistant to run flyai keyword-search with the query "Find flights and hotels for a 3-day trip in Sanya with a budget under 3000 CNY, and recommend nearby attractions, then include booking links."

Frequently Asked Questions about flyai

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search for flights and hotels using natural language queries?▼

Natural language flight and hotel search converts user intent into structured travel results. The assistant parses semantic queries for itinerary planning and price comparison, returning booking-ready links and images.

Can I plan a complete trip itinerary and compare prices in one request?▼

Yes, itinerary planning and price comparison can be combined in one semantic query. You can request flight options, hotel recommendations, and nearby attractions for scenarios like family trips, then receive structured booking links.

Do I need an API key to start a travel search session?▼

Yes, session-start API key injection into the flyai-cli configuration is required. This setup authorizes MCP services to process semantic travel queries and return structured JSON output with booking fields.

What does the booking-ready output format look like for travel search results?▼

The travel search output produces single-line JSON on stdout. It includes user-facing fields like picUrl or mainPic for images, and jumpUrl or detailUrl for direct booking links.

What types of travel scenarios are supported by semantic query search?▼

Semantic query search supports common travel scenarios including weekend getaways, family trips, business travel, honeymoons, and document or visa-related travel queries.

How do I find nearby attractions when planning a trip itinerary?▼

To find nearby attractions, include a POI or attraction search request in your itinerary planning query. The AI-assisted semantic search maps your travel intent to relevant points of interest with images and booking links.

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