# PixelForge MCP

> Use this tool when you need to generate, edit, or analyze images using AI-powered technology, solving problems such as automated image creation, enhancement, or transformation. The PixelForge MCP server utilizes Google's Gemini and Imagen 4 models, accepting input parameters and image data, and outputting transformed or generated images. Ideal for use cases requiring intelligent image processing, such as content creation, data augmentation, or computer vision tasks.

Canonical page: https://skillsregistry.net/skills/tehnolabs-pixelforge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tehnolabs-pixelforge-mcp

## Description

An MCP server for AI-powered image generation, editing, analysis, and transformation using Google's Gemini and Imagen 4 models.

## Trust

- **Trust score (0–1):** 0.56
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/flgg74ik4i)
- **Repository:** <https://github.com/Tehnolabs/pixelforge-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": "tehnolabs-pixelforge-mcp"
    }
  }
}
```

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