# gingerguide

> gingerguide — gingerguide-gingerguide. Use this tool when you need to create self-guided audio walking tours for European cities, solving the problem of static travel guides and providing an immersive experience for users. It takes in location data and outputs interactive audio tours, accessible through AI agents like Claude, ChatGPT, and Cursor. Ideal for travel and tourism applications, Gingerguide enhances user engagement with its dynamic and informative guides.

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

## Description

Gingerguide MCP server and agent skills: self-guided audio walking tours for 129 European cities, for Claude, ChatGPT, Cursor and other AI agents.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/gingerguide/gingerguide)

## 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": "gingerguide-gingerguide"
    }
  }
}
```

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