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Hotelbooking AI MCP server

by RollingGo-AI·io.github.RollingGo-AI/hotelbooking-ai·v1.0.0·84 stars
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RollingGo Hotel Booking MCP Server (Global/AI Edition)

B80/100grade B
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Safety scan
B80/100

full report

Adoption
Growing

84 stars26 downloads/wk

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Hotelbooking AI tools (3)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • getHotelDetail

    Query real-time room types and pricing for a single hotel (room types, price and tax, availability, cancellation policy, etc.). Used for a second price check after the user has selected a specific hotel.

  • getHotelSearchTags

    Retrieve hotel search tag metadata (AI cache), including the list of available tags. Suitable for local caching followed by user-intent parsing, then passing the structured tags into `searchHotels.hotelTags`.

  • searchHotels

    Search hotels by location. Supports city, airport, POI, train station, subway station, hotel name, district, or detailed address. Returns a list of matching hotels with basic info and pricing.

Public scan report

scanner v0.1.10 · 2026-10-03 · same rubric, same numbers if you re-run it

no findings
  • Code scan9 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 11 days ago15/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 80/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Hotelbooking AI compares

Against every graded Maps and travel MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
80/100
higher than 70% of 681 Maps and travel servers
Tools
3
the typical Maps and travel server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
84
more than 96% of 324 Maps and travel servers
Downloads a week
26
more than 13% of 150 Maps and travel servers with a package

What its tools let an agent do: 3 read

Install Hotelbooking AI in Claude Code, Cursor or VS Code

Runs npx -y hotelbooking-ai on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add hotelbooking-ai -- npx -y hotelbooking-ai
Add to Cursor

What the publisher says

From the Hotelbooking AI repository's README, as published. We do not edit it. Read it on GitHub

RollingGo Hotel MCP — Hotel Search & Booking

🏠 Apply Key · 🚀 Quick Start · 📚 Examples · 💬 Support · 🔍 Q&A · 💰Earn with RollingGo

This is an official MCP server empowers AI Agents to search, compare, and book over 2 Million hotels globally. Powered by DIDA (14 years, world's #3 travel distribution platform), this server bridges the gap between AI travel recommendations and real-world bookings.

  • Transport Protocol: streamable-http
  • Pricing: Completely free, no usage limits
  • Access Method: Self-service following this documentation; suitable for rapid prototyping and tool development.

RollingGo MCP also offers an OAuth 2.0 Authorization Code flow, providing 7 tools including getHotelSearchTags, searchHotels, getHotelDetail, hotelPriceConfirm, searchHotelOrders, and more. This mode is designed for deep integration with enterprise-grade production applications and requires a business contact via contact@rollinggo.ai.

For Chinese users or workflows primarily targeting the mainland China market and Alipay payment systems, please refer to this version: Dida-hotel-MCP-CN

🌟 Why DIDA Hotel MCP?

Traditional AI agents can only recommend hotels based on static training datasets. The DIDA Hotel MCP equips your LLM agent with direct, real-time transactional capabilities:

✅ Live Rates & Bookable Inventory — Zero-latency price verification; every result is instantly bookable.

✅ Supply Chain — The world's Top 3 travel B2B platform, 14 years in the making, fully API-native end-to-end.

✅ Global Hotel Network — 2,000,000+ properties covering 200+ countries/regions. 500+ suppliers covering every tier, from luxury chains to local boutiques.

✅ Direct Contracts — 110,000+ directly connected hotels with live price and inventory sync.

✅ Price Edge at Source — Priced upstream of OTAs; sharp rates on hot spots.

✅ Agent-Ready — Works with 40+ leading agents: Cursor, Claude Code, Codex, Windsurf, Copilot, and more.

✅ Earn your Revenue on Every MCP Call — Set country-specific markups, earn commission on every completed booking, and track your orders, earnings, and payouts in real time. Flexible withdrawals for both businesses and individual developers.

🎯 Who is it for

• Companies or individual developers building AI Agents

• Developers looking to integrate hotel booking capabilities into MCP Clients

• Developers building travel planning, business travel management, OTA, and lifestyle service agents

• Product teams seeking to validate AI Agent commercial transaction loops

• Individuals with needs for hotel search, price comparison, and price drop alerts******

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Hotelbooking AI: common questions

Is Hotelbooking AI MCP server safe?
Mostly: it is graded B (80/100). Read the Hotelbooking AI safety report
How do I install Hotelbooking AI?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Hotelbooking AI need an API key?
Yes. The registry entry asks for ROLLINGGO_API_KEY.
Is Hotelbooking AI maintained?
The last commit was 43 days ago (2026-09-22). The latest release is v1.0.0.
What can I use instead of Hotelbooking AI?
Servers from other publishers that do the same job: Reviews + AI Insights: Steam, Agoda, Google Play MCP server, Hotel Prices Data MCP server and Travel & Events Data MCP server. Compare all Hotelbooking AI alternatives.
How does Hotelbooking AI compare with other Maps and travel MCP servers?
safety score 80/100 (higher than 70% of 681 Maps and travel servers); tools 3 (the typical Maps and travel server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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