# mapbox-mcp

> mapbox-mcp — gaopengbin-mapbox-mcp. Use this tool when you need to integrate AI-powered 2D and 3D map controls into your application, solving problems such as customized map visualization and interactive mapping experiences. It takes in map data and model context as inputs and outputs interactive map interfaces, leveraging the Mapbox GL JS library. Ideal for use cases requiring dynamic and responsive map rendering, such as location-based services, urban planning, and navigation systems.

Canonical page: https://skillsregistry.net/skills/gaopengbin-mapbox-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gaopengbin-mapbox-mcp

## Description

AI-Powered 2D/3D Map Control via Model Context Protocol for Mapbox GL JS

## Trust

- **Trust score (0–1):** 0.91
- **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/gaopengbin/mapbox-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": "gaopengbin-mapbox-mcp"
    }
  }
}
```

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