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Hotelbooking AI

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository

RollingGo Hotel Booking MCP Server (Global/AI Edition)

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for hotelbooking-ai, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

RollingGo Hotel MCP β€” Hotel Search & Booking

Version ModelScope MCP Version License: MIT Python 3.10+

🏠 Apply Key Β· πŸš€ Quick Start Β· πŸ“š Examples Β· πŸ’¬ Support Β· πŸ” Q&A Β· πŸ’°Earn with RollingGo

This is an official MCP server empowers AI Agents to search, compare, and book over 2 Million hotels globally; this server bridges the gap between AI travel recommendations and real-world bookings.

ServiceEndpointAvailable ToolsAuthentication
Hotel MCPhttps://mcp.rollinggo.ai/mcpsearchHotels, getHotelDetail, getHotelSearchTagsAuthorization: Bearer <YOUR_API_KEY>
  • 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: RollingGo-hotel-MCP-CN


🌟 Why DIDA Hotel MCP?

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

βœ… Live Rates & Bookable Inventory β€” Zero-latency price verification; every result is instantly bookable.

βœ… Supply Chain β€” Fully API-native end-to-end.

βœ… Global Hotel Network β€” 2,000,000+ properties covering 200+ countries/regions. 500+ suppliers covering every tier, from luxury chains to local boutiques.

βœ… Direct Contracts β€” 110,000+ directly connected hotels with live price and inventory sync.

βœ… Price Edge at Source β€” Priced upstream of OTAs; sharp rates on hot spots.

βœ… Agent-Ready β€” Works with 40+ leading agents: Cursor, Claude Code, Codex, Windsurf, Copilot, and more.

βœ… Earn your Revenue on Every MCP Call β€” 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

β€’ Companies or individual developers building AI Agents

β€’ Developers looking to integrate hotel booking capabilities into MCP Clients

β€’ Developers building travel planning, business travel management, OTA, and lifestyle service agents

β€’ Product teams seeking to validate AI Agent commercial transaction loops

β€’ Individuals with needs for hotel search, price comparison, and price drop alerts******

🎯 Use Cases

  • General-Purpose Agents: Equip any AI agent with native hotel booking. Users can compare, filter, and bookβ€”all within a single natural-language conversation.
  • AI Travel Planners: Integrate hotel searching directly into natural language itineraries.
  • Corporate Travel Assistants: Allow employees to query, compare, and book business travel within Slack, Teams, or custom chat interfaces.
  • Transactional Demos: Validate end-to-end AI agent commerce and payment flows without heavy backend integration.

πŸš€ Quick Start

Integrate global hotel search and booking into your AI assistant in under 5 minutes with no coding required.

Step 1: Get Your Developer API Key

  1. Go to the DIDA Partner Center and sign up for a free key.
  2. You will receive an email containing: Credentials for your B2B Partner Center dashboard (to monitor orders, configure markup, and track earnings).

Step 2: Connect to Your Agent

Recommended clients: Claude CLI, Codex, and Cursor. Other MCP-compatible clients (such as Kiro, Doubao, etc.) can be configured similarly.

Claude CLI

Create .mcp.json in your project root:

config.json
{
  "mcpServers": {
    "Dida-Hotel": {
      "url": "https://mcp.rollinggo.ai/mcp",
      "type": "http",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Or add directly via the command line:

Terminal
claude mcp add \
  --transport http \
  --header "Authorization: Bearer YOUR_API_KEY" \
  Dida-Hotel \
  https://mcp.rollinggo.ai/mcp

Codex

Config file location: .codex/config.json in the project root, or globally at ~/.codex/config.json

config.json
{
  "mcpServers": {
    "Dida-Hotel": {
      "url": "https://mcp.rollinggo.ai/mcp",
      "type": "streamable-http",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Cursor

Config file location: .cursor/mcp.json in the project root, or globally at ~/.cursor/mcp.json

config.json
{
  "mcpServers": {
    "Dida-Hotel": {
      "url": "https://mcp.rollinggo.ai/mcp",
      "type": "streamable-http",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Replace YOUR_API_KEY with your actual API Key.

Test Directly with cURL

Note: cURL must include -H "Accept: application/json, text/event-stream", otherwise the server will return a 400 error.

Terminal
curl -X POST https://mcp.rollinggo.ai/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "jsonrpc": "2.0",
    "method": "tools/call",
    "params": {
      "name": "searchHotels",
      "arguments": {
        "originQuery": "Shanghai Bund five-star hotel",
        "place": "Shanghai Bund",
        "placeType": "Attraction",
        "checkInParam": {
          "checkInDate": "2026-06-01",
          "stayNights": 2
        },
        "filterOptions": {
          "starRatings": [5.0]
        },
        "size": 3
      }
    },
    "id": 1
  }'

Step 3: Your First MCP Call

Once configured, simply tell your AI assistant:

"Find me a five-star hotel near the Shanghai Bund for a stay starting the day after tomorrow."

The AI will automatically call the searchHotels Tool and return a list of hotels.

Hotel Search Example

config.json
{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "searchHotels",
    "arguments": {
      "originQuery": "Shanghai Bund five-star hotel",
      "place": "Shanghai Bund",
      "placeType": "Attraction",
      "checkInParam": {
        "checkInDate": "2026-06-01",
        "stayNights": 2
      },
      "filterOptions": {
        "starRatings": [5.0]
      },
      "size": 3
    }
  },
  "id": 1
}

Step 4: View Results and Sample Data

Hotel Search Results (Real Data)

Searching for "Shanghai Bund five-star hotel", 2 nights, returns:

HotelStarsLowest Price/NightDistance to Bund
Fairmont Peace Hotel Shanghai⭐⭐⭐⭐⭐$648124m
The Peninsula Shanghai⭐⭐⭐⭐⭐$940252m

Expected Response JSON Example

config.json
{
  "message": "Hotel search successful",
  "hotelInformationList": [
    {
      "hotelId": 29529,
      "bookingUrl": "https://rollinggo.ai/pages/hotel/detail/index?...",
      "name": "Fairmont Peace Hotel on the Bund",
      "address": "No. 20 Nanjing East Road",
      "starRating": 5.0,
      "price": {
        "message": "Price query successful. Lowest price: 648, Currency: USD",
        "hasPrice": true,
        "currency": "USD",
        "lowestPrice": 648.0
      },
      "hotelAmenities": ["Bar", "Gym", "Pool", "SPA", "Parking", "WIFI"],
      "tags": ["SPA Service", "Resort Hotel", "Sports-Friendly Hotel"]
    }
  ]
}

πŸ”§ Available Tools

Official Docs | Dida MCP Tools

The server registers 3 core tools to handle the complete search-to-book lifecycle:

1) searchHotels

Find hotels by location, date, price, star rating, and tags.

  • Input Parameters:
    • originQuery (string, required): User's raw text request (e.g., "Find boutique hotels in Tokyo under $200").
    • place (string, required): Specific destination, attraction, or airport name.
    • placeType (string, required): Location type (city, airport, point_of_interest, hotel, etc.). Supported values: city, airport, point_of_interest, train_station, subway_station, hotel, district/county, detailed address.
    • countryCode (string, optional): ISO 3166-1 alpha-2 country code, e.g. CN, US.
    • size (number, optional, default: 5): Number of hotels to return, max 20.
    • checkInParam (object, optional): Check-in related parameters.
    • filterOptions (object, optional): Filter parameters.
    • hotelTags (object, optional): Tag / brand / budget filters.
πŸ”Ž View Detailed Input Parameters (checkInParam, filterOptions, hotelTags)

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about Hotelbooking AI

We don't have a confirmed install command for hotelbooking-ai yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/RollingGo-AI/RollingGo-Hotel-MCP-Global) for the current steps.

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Last updatedSep 28, 2026
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Verified ownership8/20
Documentation & tools10/30
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Community engagement0/10

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