
Comfyui Mcp
io.github.miller-joePublished by GitHub account miller-joev0.2.1Updated Oct 24, 2026
MCP server for ComfyUI: text-to-image, variations, img2img refine, upscale, image proxy.
Overview
A local MCP server that connects an assistant to a ComfyUI instance so it can generate, refine, upscale and vary images from text prompts and workflows.
- What you can do
- Generate images from text prompts, with negative prompts, size, steps, cfg and seed controls, and produce seed-varied batches of the same prompt. Refine existing images with img2img denoising, upscale them, and condition generation on ControlNet images or IP-Adapter reference images. Run arbitrary ComfyUI workflow JSON and built-in templates for txt2img, img2img, upscale, ControlNet and IP-Adapter. Save, list, fetch, delete and run named workflow templates stored on disk. List available checkpoints, LoRAs, samplers and schedulers, and upload reference images to ComfyUI.
- When to use it
- Use it when you already run a ComfyUI instance and want an assistant to drive image generation, variations, refinement, upscaling or custom workflows from chat, without switching to the ComfyUI interface.
- Requirements
- A running ComfyUI instance reachable over HTTP, set with COMFYUI_URL (default Node.js 20+ to run the npm package, or the Docker image. Optionally COMFYUI_PUBLIC_URL when clients cannot reach ComfyUI directly, and COMFYUI_DEFAULT_CKPT naming a checkpoint present in ComfyUI's models/checkpoints directory. ControlNet and IP-Adapter tools need the matching models and custom nodes installed in ComfyUI.
Installation
In SourceWeft
- Open Comfyui Mcp in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
comfyui-mcp
MCP server for ComfyUI. Generate images from natural language prompts in any MCP-compatible client.
Status
v0.2 ships the core tools plus upscale, an image proxy, and public-URL support. Current tool surface: generate_image, generate_variations, generate_with_workflow, refine_image, upscale_image, list_models, list_workflows, upload_image, generate_with_controlnet, generate_with_ip_adapter, plus a workflow template registry. See Roadmap for what's next.
Install
npx (no install required)
npm
Docker
Connect an MCP client
Claude Code:
Or register the streamable HTTP endpoint with an MCP gateway (e.g. MetaMCP) to aggregate with other servers.
Configuration
All options can be set via CLI flag or environment variable:
Transports
The server speaks streamable HTTP by default (great for Claude Code, MetaMCP, raw fetch). Pass --stdio (or set MCP_TRANSPORT=stdio) to switch into stdio mode, which is what stdio-first clients like Claude Desktop and the MCP Inspector expect:
Image URLs returned to clients
Generation tools return image URLs like <comfyui-public-url>/view?filename=…. If --comfyui-public-url is not set, URLs use the internal --comfyui-url value.
The server also exposes a proxy endpoint: GET /images/<filename>?subfolder=&type=output streams the image bytes through this server, which is useful when clients can reach the MCP server but not ComfyUI directly.
The default checkpoint must match a file in your ComfyUI models/checkpoints/ directory. Override via COMFYUI_DEFAULT_CKPT or pass checkpoint as a tool argument.
Tools
generate_image
Generate an image from a text prompt using ComfyUI's default txt2img workflow.
Parameters: prompt (required), negative_prompt, width, height, steps, cfg, seed, checkpoint.
generate_variations
Generate multiple variations of the same prompt by varying the seed. Returns all images at once.
Parameters: prompt (required), count (2–16, default 4), plus the same generation params as generate_image, with base_seed instead of seed.
generate_with_workflow
Submit an arbitrary ComfyUI workflow JSON (full node graph) and return the resulting image URLs. Use this for custom workflows — ControlNet, upscaling, or anything exported from ComfyUI's Save (API Format).
Parameter: workflow (object), the complete node graph.
refine_image
Run img2img on a source image. The server fetches a source URL, uploads it to ComfyUI, and runs a denoising pass guided by a new prompt. Lower denoise preserves more of the original; higher gives the prompt more freedom.
Parameters: prompt, source_image_url (required), denoise (0–1, default 0.5), plus standard generation params.
list_models
List available checkpoints, LoRAs, samplers, or schedulers on the ComfyUI instance.
Parameter: kind, one of checkpoints (default), loras, samplers, schedulers.
list_workflows
List built-in workflow templates shipped with this server (currently txt2img, img2img, upscale, controlnet, ip_adapter).
upload_image
Upload a reference image to ComfyUI for use in img2img, ControlNet, or IP-Adapter workflows.
Parameters: source_url or image_base64 (one required), filename (optional), overwrite (default false).
Returns: the stored filename, which can be used as the image input in workflow nodes like LoadImage.
generate_with_controlnet
Generate an image conditioned by a ControlNet preprocessed image (pose skeleton, depth map, canny edges, normal map, etc.) plus a text prompt.
Parameters: prompt, control_image_url (the preprocessed conditioning image; this tool doesn't run preprocessors), controlnet_model (filename from models/controlnet/), strength (0–2, default 1), start_percent / end_percent (0–1, controlling when CN is active during sampling), plus standard generation params.
Requires a ControlNet model installed in your ComfyUI models/controlnet/ directory.
generate_with_ip_adapter
Generate an image using a reference image as a visual/style/subject guide via IP-Adapter.
Parameters: prompt, reference_image_url, preset (e.g. "STANDARD (medium strength)", "PLUS FACE (portraits)", "VIT-G (medium strength)"), weight (0–3, default 1), start_at / end_at (0–1), plus standard generation params.
Requires the ComfyUI-IPAdapter-plus custom node pack plus the preset's matching IPAdapter weights and CLIP Vision models.
Workflow template registry
Save complex workflow JSON once, run by name later. Templates are stored on disk under --templates-dir (defaults to ~/.config/comfyui-mcp/templates/<name>.json) so they survive restarts and are portable across MCP clients.
Template names must start alphanumeric. Allowed: a-z, A-Z, 0-9, -, _. Max 64 chars.
Return format
All generation tools return image URLs served directly by the ComfyUI instance (http://<comfyui>/view?filename=…). These URLs can be passed straight to any client that accepts image URLs.
Architecture
The server is stateless. A single MCP request submits a workflow to ComfyUI, polls /history/{id} until complete, and returns image URLs.
Development
Requires Node 20+.
Roadmap
Shipped in v0.2:
generate_image,generate_variations,generate_with_workflowrefine_image(img2img from a source URL)upscale_image(ESRGAN / SwinIR-style model upscale)list_models,list_workflows,upload_image- Image proxy endpoint (
/images/<filename>) for clients that can't reach ComfyUI directly - Configurable public URL for externally-correct image URLs
- Workflow template registry (save/list/get/delete/run)
generate_with_controlnet(requires ControlNet models on the ComfyUI side)generate_with_ip_adapter(requires ComfyUI-IPAdapter-plus pack)
Planned:
- WebSocket progress events for long-running generations.
License
MIT © Joe Miller
Support
If this tool saves you time, consider supporting development:
Every contribution funds maintenance, documentation, and the next release.
Source: README.md at commit 9f3481f
Tools
0Version history
1- v0.2.1LatestSep 16, 2026
Score
50% of the applicable checks met
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- Reached in the last 30 days25 pts
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- Auth declared10 pts
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- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts