# 3D Relief Generator

> Use this tool when you need to convert 2D images into 3D printable models, solving problems such as creating custom relief sculptures or generating tactile representations of images. It accepts 2D image files or URLs as input and produces ASCII STL files as output, with configurable parameters for model dimensions, depth, and detail. Ideal for artistic, educational, or design applications where 3D printing is required.

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

## Description

This MCP server converts 2D images into 3D relief STL files for 3D printing by generating depth maps from image brightness values and creating triangulated mesh surfaces with configurable base thickness. Built by Bigchx using Python with OpenCV, PIL, and FastAPI, the implementation accepts both local file paths and web URLs as input, processes images through grayscale conversion and Gaussian blur filtering, then generates ASCII STL files with proper facet normals for 3D model compatibility. The server offers detailed control over model dimensions, depth inversion, detail levels, and base thickness parameters, making it useful for creating custom relief sculptures, converting artwork to printable models, or generating tactile representations of images for educational or artistic purposes.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-05-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/bigchx-3d-relief)
- **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-3d-relief"
    }
  }
}
```

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