Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
MCP server for ComfyUI: text-to-image, variations, img2img refine, upscale, image proxy.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
COMFYUI_URL, COMFYUI_PUBLIC_URL, COMFYUI_DEFAULT_CKPTYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"comfyui": {
"command": "npx",
"args": [
"-y",
"@miller-joe/comfyui-mcp"
],
"env": {
"COMFYUI_URL": "your-value",
"COMFYUI_PUBLIC_URL": "your-value",
"COMFYUI_DEFAULT_CKPT": "your-value"
}
}
}
}Run this in your terminal
claude mcp add comfyui --env COMFYUI_URL=your-value --env COMFYUI_PUBLIC_URL=your-value --env COMFYUI_DEFAULT_CKPT=your-value -- npx -y @miller-joe/comfyui-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"comfyui": {
"command": "npx",
"args": [
"-y",
"@miller-joe/comfyui-mcp"
],
"env": {
"COMFYUI_URL": "your-value",
"COMFYUI_PUBLIC_URL": "your-value",
"COMFYUI_DEFAULT_CKPT": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"comfyui": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@miller-joe/comfyui-mcp"
],
"env": {
"COMFYUI_URL": "your-value",
"COMFYUI_PUBLIC_URL": "your-value",
"COMFYUI_DEFAULT_CKPT": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
COMFYUI_URL envCOMFYUI_PUBLIC_URL envCOMFYUI_DEFAULT_CKPT envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026
The registry name was verified with the GitHub account miller-joe, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.2.1) reached the registry 7 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
MCP server for ComfyUI. Generate images from natural language prompts in any MCP-compatible client.
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.
npx @miller-joe/comfyui-mcp --comfyui-url http://your-comfyui-host:8188
npm install -g @miller-joe/comfyui-mcp
comfyui-mcp --comfyui-url http://your-comfyui-host:8188
docker run -p 9100:9100 \
-e COMFYUI_URL=http://your-comfyui-host:8188 \ ghcr.io/miller-joe/comfyui-mcp:latest
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.
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 |
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"] } } }
Generation tools return image URLs like /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/ ?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.
generate_imageGenerate an image from a text prompt using ComfyUI's default txt2img workflow.
Parameters: prompt (required), negative_prompt, width, height, steps, cfg, seed, checkpoint.
generate_variationsGenerate 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_workflowSubmit 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_imageRun 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_modelsList available checkpoints, LoRAs, samplers, or schedulers on the ComfyUI instance.
Parameter: kind, one of checkpoints (default), loras, samplers, schedulers.
list_workflowsList built-in workflow templates shipped with this server (currently txt2img, img2img, upscale, controlnet, ip_adapter).
upload_imageUpload 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_controlnetGenerate 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_adapterGenerate 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.
Save complex workflow JSON once, run by name later. Templates are stored on disk under --templates-dir (defaults to ~/.config/comfyui-mcp/templates/ .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.
All generation tools return image URLs served directly by the ComfyUI instance (http:// /view?filename=…). These URLs can be passed straight to any client that accepts image URLs.
┌────────────────┐ ┌──────────────────┐ ┌──────────────┐
│ 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.
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+.
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/images/ ) for clients that can't reach ComfyUI directlygenerate_with_controlnet (requires ControlNet models on the ComfyUI side)generate_with_ip_adapter (requires ComfyUI-IPAdapter-plus pack)Planned:
MIT © Joe Miller
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