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Connect to ComfyUI to inspect assets and run workflow jobs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ComfyUI MCP" yet — see the docs or source repo.
Connect to the ComfyUI MCP and list the current server status, installed models, supported features, and core text-to-image node metadata in a table.
A structured table showing server health, model inventory, feature list, and key node descriptions.
Use the ComfyUI MCP to submit a text-to-image workflow: cyberpunk city at night, neon lights, highly detailed, 1024x1024; then report the job ID, queue status, and output image location.
Submitted job details including the job ID, queued or running status, and the output image reference.
Check the current ComfyUI queue and history, identify any running job, and interrupt it if it has been running for over 10 minutes; then report the result.
A summary of the queue and history, plus whether the target job was successfully interrupted and its final status.
Expose ComfyUI workflows as MCP tools for LLM-driven image generation.
Run ComfyUI workflows and manage models directly from your AI coding assistant.
Manage ComfyUI deployments and run async inference via RunComfy Serverless API.
Let AI agents control local ComfyUI for workflows, image generation, and model management.
Edit ComfyUI workflows in Claude to generate media and manage models.
Enable AI agents to analyze images with detection and embedding services.