# pixel-mcp

> Use this tool when you need to generate or edit pixel art with precision, leveraging features like layers, frames, and symmetry to create detailed images. It solves problems of inconsistent or low-quality pixel art generation, and accepts inputs such as art specifications and editing instructions, producing high-resolution pixel art outputs. Ideal for use cases requiring custom, reliable pixel art creation, such as game development or graphic design projects.

Canonical page: https://skillsregistry.net/skills/ehm-93-pixel-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ehm-93-pixel-mcp

## Description

Enables LLMs to create and edit pixel art reliably with support for layers, frames, symmetry, and various drawing tools.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vz0slgxd89)
- **Repository:** <https://github.com/ehm-93/pixel-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": "ehm-93-pixel-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ehm-93-pixel-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ehm-93-pixel-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