comfyui-mcp
Version:
Local-first, agent-native control plane for ComfyUI — MCP server + autonomous sidebar agent that drives your live graph in natural language on ANY LLM: Claude/ChatGPT/Gemini on your subscription (no API key), free local models via Ollama (fully offline),
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Markdown
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description: Visualize a ComfyUI workflow as a mermaid diagram
argument-hint: Path to workflow JSON file, or paste JSON inline
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# /comfy-viz — Visualize a Workflow
The user wants to visualize a ComfyUI workflow as a mermaid flowchart diagram.
## Instructions
1. **Get the workflow JSON.** The argument may be: $ARGUMENTS
- A file path to a workflow JSON file; read it with the Read tool
- Inline JSON pasted directly as the argument
- Nothing, in which case ask the user to provide a workflow file path or paste the JSON
2. **Validate the input.** The workflow must be in ComfyUI's API format, an object where keys are node IDs and values have `class_type` and `inputs`. If it looks like the web UI format (has `nodes` and `links` arrays), tell the user it needs to be in API format and suggest they export it via "Save (API Format)" in ComfyUI.
3. **Visualize.** Use the `visualize_workflow` tool with:
- `workflow`: the parsed workflow JSON
- `show_values`: `true` (to include parameter values in node labels)
- `direction`: `"LR"` (left-to-right, easiest to read)
4. **Present the diagram.** Show the mermaid output to the user. The mermaid code block will render as a flowchart showing nodes grouped by category with labeled connections.
## Example
User: `/comfy-viz ~/workflows/my-workflow.json`
Steps:
- Read the file at `~/workflows/my-workflow.json`
- Pass contents to `visualize_workflow`
- Display the mermaid diagram
## Notes
- If the workflow is very large (50+ nodes), suggest using `direction: "TB"` (top-to-bottom) for better readability
- The diagram groups nodes into subgraphs by category: loading, conditioning, sampling, image, output
- Connection edges are labeled with data types (MODEL, CLIP, CONDITIONING, LATENT, IMAGE, VAE, etc.)