Pixelle Mcp
About
An omnimodal AIGC framework that seamlessly converts ComfyUI workflows into MCP tools with zero code, enabling full-modal support for Text, Image, Sound, and Video generation with Chainlit-based web interface.
Details
- Author
- AIDC-AI
- Downloads
- 395
- Categories
- Developer Tools
Jump to
- Full-modal generation: text, image, sound/speech, and video.
- Zero-code conversion of ComfyUI workflows into MCP tools.
- Dynamic addition of new MCP tools from workflows.
- Integration with any MCP client (Cursor, Claude Desktop, etc.).
- Flexible deployment: standalone server, standalone client, or combined.
- Built on ComfyUI, inheriting its entire open ecosystem.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Pixelle McpCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
No explicit install or configuration commands are provided in the README. Usage involves deploying Pixelle Mcp as a standalone server, standalone client, or combined setup, then connecting any MCP client (e.g., Cursor, Claude Desktop) to access ComfyUI workflows as callable tools. New tools are created dynamically by converting ComfyUI workflows without writing code.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"pixelle mcp": {
"pixelle-mcp-Image-generation": {
"type": "streamable-http",
"url": "https://pixelle-mcp-server.onrender.com/mcp",
"headers": {
"Authorization": "Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJ0ZXN0X3VzZXJfaWQiLCJpc3MiOiJtb2RlbHNjb3BlX2N1dCIsImlhdCI6MTc1NjM2OTg3MSwiZXhwIjoxNzU4OTYxODcxLCJhdWQiOiJodHRwczovL3BpeGVsbGUuYWkifQ.VRHREqpFCsxCC74Uz-aPJ4LsBXonKqzaBN1lkgDperS1Ihyyh4HO0a0pghHbcfAqZloM6DNKwWeqZBZbnFmlE67dHkFuBqNALRyB2t7VnOfRMcS6TM_cFsOFE3bVnt-WtaMPhMUOxSZWAHI9Qz6lVLrFCAj5BrwhNLK1iYHkx7v3y0DENjtlEnzw3J20m9uVEq0CThBYfIvHS5gzbvNIhkyiXx2M8FJnQtlX_Kgz1QOk_hrLZn6f-ZVIMbTVWBFkLNpyDnsJH5ynuwlSdPaFYIO0P2ZBIqHZNMYVsvKdPyNJwbn7121-9o0ZMFbyp0-pnGE6qgau993ozzf_GIXOLA"
}
}
}
}
}McpServers
{
"pixelle-mcp-Image-generation": {
"type": "streamable-http",
"url": "https://pixelle-mcp-server.onrender.com/mcp",
"headers": {
"Authorization": "Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJ0ZXN0X3VzZXJfaWQiLCJpc3MiOiJtb2RlbHNjb3BlX2N1dCIsImlhdCI6MTc1NjM2OTg3MSwiZXhwIjoxNzU4OTYxODcxLCJhdWQiOiJodHRwczovL3BpeGVsbGUuYWkifQ.VRHREqpFCsxCC74Uz-aPJ4LsBXonKqzaBN1lkgDperS1Ihyyh4HO0a0pghHbcfAqZloM6DNKwWeqZBZbnFmlE67dHkFuBqNALRyB2t7VnOfRMcS6TM_cFsOFE3bVnt-WtaMPhMUOxSZWAHI9Qz6lVLrFCAj5BrwhNLK1iYHkx7v3y0DENjtlEnzw3J20m9uVEq0CThBYfIvHS5gzbvNIhkyiXx2M8FJnQtlX_Kgz1QOk_hrLZn6f-ZVIMbTVWBFkLNpyDnsJH5ynuwlSdPaFYIO0P2ZBIqHZNMYVsvKdPyNJwbn7121-9o0ZMFbyp0-pnGE6qgau993ozzf_GIXOLA"
}
}
}Pixelle is an open-source, omnimodal agent framework that seamlessly integrates ComfyUI with Large Language Models (LLMs) via the Model Context Protocol (MCP). It allows users to convert complex ComfyUI workflows into callable MCP tools with zero code, empowering LLMs to perform a wide range of AIGC tasks across text, image, sound/speech, and video. Built on the extensible ComfyUI ecosystem, Pixelle provides a flexible and unified solution for developing, deploying, and utilizing multimodal AI generation capabilities through a powerful client-server architecture.
Key Features
- Supports full-modal (Text, Image, Sound/Speech, Video) conversion and generation.
- Built on ComfyUI, inheriting its entire open ecosystem capabilities.
- Enables zero-code development and dynamic addition of new MCP tools from ComfyUI workflows.
- Provides a robust MCP Server for integration with any MCP client (e.g., Cursor, Claude Desktop).
- Offers flexible deployment options, including standalone server, standalone client, or combined.
Use Cases
- Integrating advanced AI generation capabilities into existing MCP-compatible applications and platforms.
- Transforming custom ComfyUI workflows into easily callable AI tools for LLMs.
- Building multimodal AI agents capable of generating and converting various content types.
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