# Gondola Award Travel Search

> Use this tool when you need to book hotels and rental cars while maximizing rewards. It solves the problem of fragmented loyalty programs by triple stacking loyalty points, credit card points, and Gondola Cash. The tool takes in travel booking requests and outputs optimized reservations with accumulated rewards.

Canonical page: https://skillsregistry.net/skills/ai-gondola-gondola  
JSON: https://api.skillsregistry.net/v1/skills/ai-gondola-gondola

## Description

Travel award search: compare cash vs points on hotels, flights & cars, cents-per-point, and book.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.gondola%2Fgondola)
- **Repository:** <https://github.com/gondola-ai/gondola-mcp>

## Use it

MCP endpoint published by the skill: `https://mcp.gondola.ai/mcp`

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": "ai-gondola-gondola"
    }
  }
}
```

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