by joenorton · MCP Server · ★ 213
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ComfyUI MCP Server Generate and refine AI images/audio/video through natural conversation A lightweight MCP (Model Context Protocol) server that lets AI agents generate and iteratively refine images, audio, and video using a local ComfyUI instance. You run the server, connect a client, and issue tool calls. Everything else is optional depth. Quick Start (2–3 minutes) This proves everything is working. 1) Clone and set up 2) Start ComfyUI Make sure ComfyUI is installed and running locally. 3) Run the MCP server From the repository directory: The server listens at: 4) Verify it works (no AI client required) Run the included test client: will: connect to the MCP server list available tools fetch and display server defaults (width, height, steps, model, etc.) run with your prompt (or a default) automatically use server defaults for all other parameters print the resulting asset information If this step succeeds, the system is working. Note: The test
| Stars | 213 |
| Forks | 52 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 49.2/100 |
| Open Issues | 3 |
| Last Updated | 2026-02-17 |
| Created | 2025-03-05 |
| Platforms | mcp, python |
| Est. Tokens | ~24k |
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comfyui-mcp-server is lightweight Python-based MCP (Model Context Protocol) server for local ComfyUI. It is categorized as a MCP Server with 213 GitHub stars.
comfyui-mcp-server is primarily written in Python. It covers topics such as comfyui, comfyui-api, image-mcp.
You can find installation instructions and usage details in the comfyui-mcp-server GitHub repository at github.com/joenorton/comfyui-mcp-server. The project has 213 stars and 52 forks, indicating an active community.
comfyui-mcp-server is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to comfyui-mcp-server on Agent Skills Hub include comfyui-mcp, ebay-mcp, open-webui-tools. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.