# mcp_3d_relief

> Use this tool when you need to generate 3D relief models or visualize terrain elevations, solving problems related to geographic information systems, architecture, or video game design. It takes in 2D elevation data as input and produces 3D relief models as output. This tool is particularly useful in contexts where spatial visualization and analysis are crucial, such as urban planning or environmental monitoring.

Canonical page: https://skillsregistry.net/skills/bigchx-mcp-3d-relief  
JSON: https://api.skillsregistry.net/v1/skills/bigchx-mcp-3d-relief

## Description

mcp\_3d\_relief

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ch0fqiwurw)
- **Repository:** <https://github.com/Bigchx/mcp_3d_relief>

## 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": "bigchx-mcp-3d-relief"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bigchx-mcp-3d-relief` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bigchx-mcp-3d-relief/pull`

---
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