ComfyUI
An MCP server for ComfyUI integration.
comfy-ui-mcp-server MCP server
A server for connnecting to a local comfyUI
Components
Resources
The server implements a simple note storage system with:
- Custom note:// URI scheme for accessing individual notes
- Each note resource has a name, description and text/plain mimetype
Prompts
The server provides a single prompt:
- summarize-notes: Creates summaries of all stored notes
- Optional "style" argument to control detail level (brief/detailed)
- Generates prompt combining all current notes with style preference
Tools
The server implements one tool:
- add-note: Adds a new note to the server
- Takes "name" and "content" as required string arguments
- Updates server state and notifies clients of resource changes
Configuration
[TODO: Add configuration details specific to your implementation]
Quickstart
Install
Claude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Development/Unpublished Servers Configuration
``` "mcpServers": { "comfy-ui-mcp-server": { "command": "uv", "args": [ "--directory", "E:\Claude\comfy-ui-mcp-server", "run", "comfy-ui-mcp-server" ] } } ```Published Servers Configuration
``` "mcpServers": { "comfy-ui-mcp-server": { "command": "uvx", "args": [ "comfy-ui-mcp-server" ] } } ```Development
Building and Publishing
To prepare the package for distribution:
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm with this command:
npx @modelcontextprotocol/inspector uv --directory E:\Claude\comfy-ui-mcp-server run comfy-ui-mcp-server
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
Máy chủ liên quan
Scout Monitoring MCP
nhà tài trợPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
nhà tài trợAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Enrichment MCP Server
Performs data enrichment on observables using third-party services via the security-cli Python package.
Plugged.in
A comprehensive proxy that combines multiple MCP servers into a single MCP. It provides discovery and management of tools, prompts, resources, and templates across servers, plus a playground for debugging when building MCP servers.
MCP Memory Gateway (rlhf-feedback-loop)
Local-first RLHF feedback loop for AI agents — capture preference signals, promote memories, block repeated mistakes, export DPO/KTO training pairs
Forge
GPU kernel optimization - 32 swarm agents turn PyTorch into fast CUDA/Triton kernels on real datacenter GPUs with up to 14x speedup
Dev.to MCP Server
An MCP server for the Dev.to API to search, browse, read, and create content on the platform.
Node.js Sandbox MCP Server
Run arbitrary JavaScript in an isolated Docker container with on-the-fly npm dependency installation.
TokenCost
An MCP (Model Context Protocol) server that provides real-time LLM token pricing data for 60+ AI models across 15 providers.
REPL MCP Server
A universal REPL session manager supporting Python, Node.js, Ruby, and more, with session management and LLM-assisted recovery.
Limetest
A lightweight, AI-powered end-to-end testing framework for CI workflows. Requires an OpenAI API key.
Rollbar
Access Rollbar project data for error monitoring and debugging.