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Let AI agents control local ComfyUI for workflows, image generation, and model management.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ComfyUI MCP Hub" yet — see the docs or source repo.
Connect to my local ComfyUI, use an appropriate workflow, and batch-generate 4 images at 1024x1024 for the theme "futuristic tech launch poster". Return each file path and the parameters used.
A result summary for 4 generated images, including save paths, key parameters, and generation status.
Inspect the checkpoints and LoRA models available in my local ComfyUI, list their names, choose the best set for realistic portrait style, and update the target workflow with them.
A list of available models and the recommended model configuration applied to the workflow.
Open my local ComfyUI canvas, find the sampler, prompt, and resolution nodes in the current workflow, change the prompt to "cinematic nighttime city street," set resolution to 1280x720, and run generation.
A successfully updated and executed workflow result with a summary of the new parameters.
Expose ComfyUI workflows as MCP tools for LLM-driven image generation.
Unifies MCP clients with tool routing, memory, and automation flows.
Access image generation and editing workflows with auth and policy controls.
Connect once to access tools aggregated from many upstream MCP servers.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Manage local MCP agent connections, tool exposure, and upstream configs centrally.