# Pixelle (ComfyUI)

> Use this tool when you need to generate high-quality images and videos through text-based interactions, solving content creation challenges in creative workflows. It takes natural language inputs and produces generated images, videos, or processed media outputs, integrating with ComfyUI for seamless workflow management. Ideal for AI-assisted content generation, Pixelle enables efficient and flexible media production through conversational commands.

Canonical page: https://skillsregistry.net/skills/aidc-ai-pixelle  
JSON: https://api.skillsregistry.net/v1/skills/aidc-ai-pixelle

## Description

Pixelle MCP is a comprehensive image generation and processing server built by AIDC-AI that integrates with ComfyUI workflows to provide text-to-image, image-to-image, and image-to-video generation capabilities through natural language interactions. The implementation features a modular architecture with separate base, server, and client components, supporting both HTTP and WebSocket execution modes for ComfyUI integration, and includes pre-built workflows for popular models like FLUX. Designed for creative workflows and AI-assisted content generation, it enables users to generate high-quality images and videos through conversational commands while providing flexible workflow management and file storage capabilities.

## Trust

- **Trust score (0–1):** 0.51
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aidc-ai-pixelle)
- **Repository:** <https://github.com/ath-maas/pixelle-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": "aidc-ai-pixelle"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aidc-ai-pixelle` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aidc-ai-pixelle/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