comfy-ui-mcp-server MCP server
@jonpojonpo
关于 comfy-ui-mcp-server MCP server
what it says on the tin
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"comfy-ui-mcp-server": {
"command": "uv",
"args": [
"sync"
]
}
}
}工具
1Adds a new note to the server
概览
What is comfy-ui-mcp-server?
A server for connecting to a local ComfyUI. It implements a simple note storage system with resources, prompts, and tools for managing notes.
How to use comfy-ui-mcp-server?
Install with uv or uvx. Configure the MCP server in the Claude Desktop config file (claude_desktop_config.json). Invoke with "comfy-ui-mcp-server" as the command. Use the "add-note" tool to add notes, and the "summarize-notes" prompt to create summaries with an optional style argument.
Key features of comfy-ui-mcp-server
- Custom
note://URI scheme for accessing individual notes - Summarize-notes prompt with optional style argument (brief/detailed)
- Add-note tool accepting name and content as required strings
- Notifies clients of resource changes after adding notes
- Published as a Python package on PyPI via
uv publish
Use cases of comfy-ui-mcp-server
- Storing and retrieving notes for a local ComfyUI workflow
- Generating summaries of all stored notes with adjustable detail level
- Adding new notes programmatically through the MCP tool interface
FAQ from comfy-ui-mcp-server
What does this server do?
It connects to a local ComfyUI and provides a note storage system with resources, a summarize-notes prompt, and an add-note tool.
How do I install it for Claude Desktop?
Add the MCP server configuration to claude_desktop_config.json. For published servers, use uvx comfy-ui-mcp-server. For local development, use uv with the directory path.
What transport does it use?
MCP servers run over stdio, so debugging is done via the MCP Inspector.
How do I debug the server?
Use the MCP Inspector by running npx @modelcontextprotocol/inspector uv --directory <path> run comfy-ui-mcp-server.
How do I build and publish the server?
Run uv sync to sync dependencies, uv build to create distributions, then uv publish to upload to PyPI. Set PyPI credentials via token or username/password.
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