# mcp-maptiler

> mcp-maptiler — pipeworx-io-mcp-maptiler. Use this tool when you need to manage and process map data, solving problems related to geospatial visualization and analysis. It takes in map data as input and outputs tiled maps, providing an interface for git version control. Use it in contexts where efficient map rendering and collaboration are required.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-maptiler  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-maptiler

## Description

MapTiler MCP.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** maps-location
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-maptiler)

## 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": "pipeworx-io-mcp-maptiler"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-maptiler` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-maptiler/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