# io.github.RollingGo-AI/hotelbooking-ai (npm · hotelbooking-ai)

RollingGo Hotel Booking MCP Server (Global/AI Edition)

- Trust score: 70/100 (medium)
- Change this week: +4
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-25

## Components

- npm · `hotelbooking-ai`: 70/100 (this document), [markdown](https://verifymcp.io/servers/rollinggo-ai-hotelbooking-ai/hotelbooking-ai.md), [page](https://verifymcp.io/servers/rollinggo-ai-hotelbooking-ai/hotelbooking-ai)

## Channel facts

- Registry: `npm`
- Package: `hotelbooking-ai`
- Version: `1.0.0`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-25.

- **Supply Chain Security**: 98/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - No install/post-install scripts declared.
  - 34 of 108 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 32/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - License check failed: no license is declared.
  - Actively maintained (last published 9 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 68/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 677 tokens (~225/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 30/100
  - Stability observed for 9 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 3 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the io.github.RollingGo-AI/hotelbooking-ai MCP server?

io.github.RollingGo-AI/hotelbooking-ai runs locally as an npm package, launched with npx -y hotelbooking-ai. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add rollinggo-ai-hotelbooking-ai -- npx -y hotelbooking-ai
```

### Cursor

```json
{
  "mcpServers": {
    "rollinggo-ai-hotelbooking-ai": {
      "command": "npx",
      "args": [
        "-y",
        "hotelbooking-ai"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "rollinggo-ai-hotelbooking-ai": {
      "command": "npx",
      "args": [
        "-y",
        "hotelbooking-ai"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add rollinggo-ai-hotelbooking-ai -- npx -y hotelbooking-ai
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "rollinggo-ai-hotelbooking-ai": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "hotelbooking-ai"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add rollinggo-ai-hotelbooking-ai --command npx --arg -y --arg hotelbooking-ai
```

### Hermes

```yaml
mcp_servers:
  rollinggo-ai-hotelbooking-ai:
    command: "npx"
    args: ["-y", "hotelbooking-ai"]
```

### Netclaw

```json
{
  "McpServers": {
    "rollinggo-ai-hotelbooking-ai": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "hotelbooking-ai"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add rollinggo-ai-hotelbooking-ai -t stdio -c npx -a -y hotelbooking-ai
```

### Other

```json
{
  "mcpServers": {
    "rollinggo-ai-hotelbooking-ai": {
      "command": "npx",
      "args": [
        "-y",
        "hotelbooking-ai"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-25 (score 70, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-09-24 (score 70, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-23 (score 69, +3)

- [functional regression] Security disclosure: unverified → fail
- [functional improvement] Stability: unverified → 0.23

### 2026-09-22 (score 66, 0)

- [functional regression] Security disclosure: fail → unverified

### 2026-09-17 (score 66, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-09-16 (score 51)

First indexed and scored.

## MCP tools (3)

### `searchHotels` (~358 tokens)

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.

Input parameters:

- `checkInParam` (object): Check-in parameters. Fields: adultCount (integer, >=1, default 2); checkInDate (string YYYY-MM-DD, future date); stayNights (integer, 1~28, default 1).
- `countryCode` (string): ISO 3166-1 alpha-2 country code for currency/locale preference, e.g. US, GB, JP.
- `filterOptions` (object): Optional filters. Fields: distanceInMeter (integer, >0, only for POI); starRatings (array [min, max], 0.0~5.0 step 0.5).
- `hotelTags` (object): Structured tag filters for price, brands, and specific amenities.
- `originQuery` (string, required): The user's original natural-language query (verbatim), used for semantic understanding and ranking.
- `place` (string, required): A single geocodeable location text defining the search scope, e.g. "Beijing", "Shanghai Pudong International Airport", "Tokyo Disneyland", "No. 19 Sanlitun Road, Chaoyang District, Beijing".
- `placeType` (string, required): Location type. Allowed values: `city`, `airport`, `point_of_interest`, `train_station`, `subway_station`, `hotel`, `district/county`, `detailed address`. Must be semantically consistent with `place`.
- `size` (number): Number of results to return, integer, 1~20. Defaults to 10.

### `getHotelDetail` (~270 tokens)

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.

Input parameters:

- `dateParam` (object): Check-in / check-out date object. Fields: checkInDate (string, YYYY-MM-DD, pass a valid future date when possible); checkOutDate (string, YYYY-MM-DD, must be later than checkInDate).
- `hotelId` (number): Hotel unique ID. Use this or `name`; if both are provided, `hotelId` takes priority (obtain it from the searchHotels tool).
- `localeParam` (object): Locale/currency preference. Fields: countryCode (ISO 3166-1 alpha-2, default US); currency (ISO 4217, default USD).
- `name` (string): Hotel name (fuzzy match). Only used when `hotelId` is absent.
- `occupancyParam` (object): Occupancy details. Fields: adultCount (integer, >=1, default 2); childCount (integer, >=0, default 0); childAgeDetails (array of child ages, e.g. [3,5]); roomCount (integer, >=1, default 1).

### `getHotelSearchTags` (~49 tokens)

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`.

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/rollinggo-ai-hotelbooking-ai/hotelbooking-ai#diagnostics

## Score history

- 2026-09-25: 70
- 2026-09-24: 70
- 2026-09-23: 69
- 2026-09-22: 66
- 2026-09-21: 66
- 2026-09-20: 66
- 2026-09-19: 66
- 2026-09-18: 66
- 2026-09-17: 66
- 2026-09-16: 51

## Common questions

### What is the io.github.RollingGo-AI/hotelbooking-ai MCP server?

io.github.RollingGo-AI/hotelbooking-ai is an MCP server listed in the public MCP registry as io.github.RollingGo-AI/hotelbooking-ai. RollingGo Hotel Booking MCP Server (Global/AI Edition). This page covers its npm package (hotelbooking-ai).

### Is the io.github.RollingGo-AI/hotelbooking-ai MCP server safe to use?

io.github.RollingGo-AI/hotelbooking-ai scores 70 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 25 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the io.github.RollingGo-AI/hotelbooking-ai MCP server expose?

io.github.RollingGo-AI/hotelbooking-ai exposes 3 tools: searchHotels, getHotelDetail, getHotelSearchTags. Their descriptions and schemas cost roughly 677 tokens of context every time the server is loaded.

### Is the io.github.RollingGo-AI/hotelbooking-ai MCP server still maintained?

io.github.RollingGo-AI/hotelbooking-ai is still listed as active in the MCP registry. We last reached this channel on 25 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- npm package: https://www.npmjs.com/package/hotelbooking-ai
- Socket report: https://socket.dev/npm/package/hotelbooking-ai
- Repository: https://github.com/RollingGo-AI/RollingGo-Hotel-MCP-Global
- Changelog RSS feed: https://verifymcp.io/servers/rollinggo-ai-hotelbooking-ai/hotelbooking-ai.xml
- Changelog JSON feed: https://verifymcp.io/servers/rollinggo-ai-hotelbooking-ai/hotelbooking-ai.json
- HTML version of this page: https://verifymcp.io/servers/rollinggo-ai-hotelbooking-ai/hotelbooking-ai