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comfyui-mcp

MCP server for ComfyUI. Generate images from natural language prompts in any MCP-compatible client.

comfyui-mcp MCP server

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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.

Related MCP server: ComfyUI MCP

Install

npx (no install required)

npx @miller-joe/comfyui-mcp --comfyui-url http://your-comfyui-host:8188

npm

npm install -g @miller-joe/comfyui-mcp
comfyui-mcp --comfyui-url http://your-comfyui-host:8188

Docker

docker run -p 9100:9100 \
  -e COMFYUI_URL=http://your-comfyui-host:8188 \
  ghcr.io/miller-joe/comfyui-mcp:latest

Connect an MCP client

Claude Code:

claude mcp add --transport http comfyui http://localhost:9100/mcp

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:

CLI flag

Env var

Default

Description

--host

MCP_HOST

0.0.0.0

Bind host (HTTP mode only)

--port

MCP_PORT

9100

Bind port (HTTP mode only)

--stdio

MCP_TRANSPORT=stdio

(unset)

Speak MCP over stdio instead of HTTP. Use when launched as a subprocess by a stdio-first MCP client (Claude Desktop, mcp-inspector).

--comfyui-url

COMFYUI_URL

http://127.0.0.1:8188

ComfyUI HTTP URL used internally by this server

--comfyui-public-url

COMFYUI_PUBLIC_URL

same as --comfyui-url

External URL in image URLs returned to clients. Set this when the internal URL is not reachable from MCP clients (common with Docker networks).

(no flag)

COMFYUI_DEFAULT_CKPT

sd_xl_base_1.0.safetensors

Default checkpoint filename

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:

# Claude Desktop config (claude_desktop_config.json):
{
  "mcpServers": {
    "comfyui": {
      "command": "npx",
      "args": ["-y", "@miller-joe/comfyui-mcp", "--stdio", "--comfyui-url", "http://127.0.0.1:8188"]
    }
  }
}

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.

Tool

Description

save_workflow_template

Save a workflow JSON under a named slot. overwrite=true to replace.

list_workflow_templates

List saved templates with descriptions and last-updated timestamp.

get_workflow_template

Fetch a stored template's JSON plus metadata.

delete_workflow_template

Delete a stored template.

run_workflow_template

Run a saved template against ComfyUI and return image URLs.

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

┌────────────────┐     ┌──────────────────┐     ┌──────────────┐
│  MCP client    │────▶│  comfyui-mcp     │────▶│  ComfyUI     │
│  (Claude, etc.)│◀────│  (this server)   │◀────│  instance    │
└────────────────┘     └──────────────────┘     └──────────────┘
     streamable HTTP        HTTP REST + poll

The server is stateless. A single MCP request submits a workflow to ComfyUI, polls /history/{id} until complete, and returns image URLs.

Development

git clone https://github.com/miller-joe/comfyui-mcp
cd comfyui-mcp
npm install
npm run dev       # hot-reload via tsx watch
npm run build     # compile TS to dist/
npm run typecheck # strict type checking

Requires Node 20+.

Roadmap

Shipped in v0.2:

  • generate_image, generate_variations, generate_with_workflow

  • refine_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:

GitHub Sponsors Ko-fi

Every contribution funds maintenance, documentation, and the next release.

Available Tools

15 tools
delete_workflow_templateB

Delete a saved workflow template.

Inputs: name (required).

generate_imageB

Generate an image from a text prompt using ComfyUI's default txt2img workflow. Returns one or more image URLs served directly by the ComfyUI instance.

Inputs: prompt (required), negative_prompt, width, height, +4 more.

generate_variationsB

Generate multiple variations of the same prompt by varying the seed. Useful for picking the best result or exploring a concept.

Inputs: prompt (required), count, negative_prompt, width, +5 more.

generate_with_controlnetA

Generate an image conditioned by a ControlNet preprocessed image (pose, depth, canny, etc.) plus a prompt. Requires a ControlNet model installed in ComfyUI's models/controlnet/ directory. The control_image_url must already be the preprocessed conditioning image — this tool does not run preprocessors itself.

Inputs: prompt (required), control_image_url (required), controlnet_model (required), negative_prompt, +9 more.

generate_with_ip_adapterB

Generate an image using a reference image as an IP-Adapter visual/style/subject guide. Requires the ComfyUI-IPAdapter-plus custom node pack and the preset's matching models (IPAdapter weights + CLIP vision). Weight tunes how strongly the reference guides generation.

Inputs: prompt (required), reference_image_url (required), negative_prompt, preset, +9 more.

generate_with_workflowA

Submit an arbitrary ComfyUI workflow (full node graph) and return the resulting image URLs. Use this when you need a custom workflow like ControlNet, upscaling, or a node graph exported from ComfyUI's 'Save (API Format)'.

Inputs: workflow (required).

get_workflow_templateB

Fetch a saved workflow template's JSON and metadata.

Inputs: name (required).

list_modelsA

List available models or samplers on the ComfyUI instance. Use this to discover valid values for the 'checkpoint' parameter of other tools, or to see what LoRAs and samplers are installed.

Inputs: kind.

list_workflowsA

List built-in workflow templates shipped with this MCP server. These are the named workflows that can be used as a baseline; for arbitrary workflows use generate_with_workflow.

Inputs: no named parameters.

list_workflow_templatesA

List all saved workflow templates in the registry.

Inputs: no named parameters.

refine_imageA

Refine an existing image using img2img: fetch the source image, upload it to ComfyUI, and run a denoising pass guided by the prompt. Lower denoise preserves more of the original; higher denoise gives more freedom to the prompt.

Inputs: prompt (required), source_image_url (required), denoise, negative_prompt, +4 more.

run_workflow_templateB

Run a saved workflow template against ComfyUI and return the resulting image URLs.

Inputs: name (required).

save_workflow_templateA

Save a ComfyUI workflow JSON to the server's template registry under a named slot. Overwrites are disabled by default.

Inputs: name (required), workflow (required), description, overwrite.

upload_imageA

Upload a reference image to ComfyUI for use in img2img, ControlNet, or IP-Adapter workflows. Accepts either a source URL (will be fetched) or base64-encoded image data. Returns the stored filename for use as 'image' in workflow nodes like LoadImage.

Inputs: source_url, image_base64, filename, overwrite.

upscale_imageA

Upscale an image using a loaded upscaler model (ESRGAN, SwinIR, etc.). Fetches the source image, uploads to ComfyUI, runs the upscale node, and returns the output URL. Requires at least one upscaler model in ComfyUI's models/upscale_models/ directory.

Inputs: source_image_url (required), upscale_model (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4/5.0

    Scored across 15 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: generation methods (standard, variations, ControlNet, IP-Adapter, custom workflow), image manipulation (refine, upscale), workflow management (list, get, save, delete, run templates), and utilities (upload_image, list_models). No overlap in functionality.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern in snake_case (e.g., generate_image, list_models, save_workflow_template). No mixing of styles or ambiguous verbs.

    Tool Count5/5

    15 tools cover the core capabilities of a ComfyUI integration (generation, conditioning, upscaling, workflow templates, and utilities) without being excessive. Each tool earns its place for a comprehensive image generation server.

    Completeness4/5

    The tool surface covers major workflows: txt2img, img2img, ControlNet, IP-Adapter, upscaling, and custom workflows via templates. Minor gaps like explicit inpainting/outpainting tools exist, but these can be handled through custom workflows.

    Maintenance

    ActivityNo data
    ResponsivenessOutdated data

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