# RollingGo-Hotel-MCP

> Use this tool when you need to integrate robust hotel search and recommendation capabilities into your AI-powered applications. RollingGo-Hotel-MCP solves the problem of providing users with accurate and up-to-date hotel information, supporting use cases such as travel planning and booking. It takes in user queries and preferences as input and outputs relevant hotel options and details, making it ideal for use in AI assistants, travel tools, and IDE plugins.

Canonical page: https://skillsregistry.net/skills/rollinggo-ai-rollinggo-hotel-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rollinggo-ai-rollinggo-hotel-mcp

## Description

RollingGo MCP is a high-performance hotel search and recommendation service built on the MCP (Model Context Protocol) standard. It connects large language models with a massive database of domestic and international hotel data, providing real-time structured hotel search capabilities for AI assistants, agents, travel planning tools, or IDE plugins like Cursor/Windsurf.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e47rs0mvr5)
- **Repository:** <https://github.com/RollingGo-AI/rollinggo-hotel-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rollinggo-ai-rollinggo-hotel-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rollinggo-ai-rollinggo-hotel-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rollinggo-ai-rollinggo-hotel-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt