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)
Plan and run local batch image preparation with explicit confirmation before writing files.
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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.
You need
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Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
claude mcp add image-puma -- npx -y image-pumaPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"image-puma": {
"command": "npx",
"args": [
"-y",
"image-puma"
]
}
}
}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": {
"image-puma": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"image-puma"
]
}
}
}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.
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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 7, 2026
The registry name was verified with the GitHub account panth-net, which owns the repo
We have not read this repo from GitHub yet
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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.
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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 (1.0.0) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, MCPB on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
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Reading a card:★ 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.
Local batch image preparation for the web via a desktop app or directly within your AI via MCP server. Image processing runs locally; Image Puma does not upload your images, require an account, or do any other nonsense. All local image processing.
Download the current Image Puma desktop installer from GitHub Releases:
npm install && npm run make (needs Python 3.11 and access to the gated RMBG-2.0 model for the background remover).The desktop app and MCP server are independent components — install either one on its own, or both together, depending on your needs.
Our installers aren't code-signed. This is a free app, and we'd rather not pay Apple's $99/year developer fee just to make it a "real app" in the eyes of the OS. As a result:
One-click Claude Desktop install uses the .mcpb bundles from GitHub Releases.
Use the following links:
The MCPB installer asks you to choose allowed image folders. Image Puma can only read from and write into those folders.
For coding sessions (optimizing project assets, generating favicons, prepping images for deploys), add the MCP server with one command:
claude mcp add --scope user image-puma -- "$(command -v npx)" -y image-puma mcp serve --transport stdio --allow-dir ~/Pictures ~/Downloads ~/Documents
--scope user makes Image Puma available in every repo and terminal on your machine; leave it off and it only loads in the folder you ran the command from. Swap the folders for whatever Image Puma should be allowed to touch — add a project folder to let it optimize the images in that repo, e.g. "compress every image in assets/ for the web".
Copy that "$(command -v npx)" part exactly — it expands to the full path of npx when you run it. Registering a bare npx looks fine and then fails to connect, because MCP servers are launched with a minimal PATH that doesn't include Node version managers like nvm, fnm, or Volta. See Node not found below.
Then start a new Claude Code session (new conversation in the VS Code extension, or a fresh claude in the terminal) — MCP servers and their commands are discovered at session start, so already-open sessions won't see it. Check it's connected any time with claude mcp list.
If you cloned this repo instead, point the command at your local build (absolute path):
npm install && npm run build:mcp
claude mcp add --scope user image-puma -- "$(command -v node)" /absolute/path/to/Image-Puma/dist/cli.js mcp serve --transport stdio --allow-dir ~/Pictures
Developer install with npx, using an absolute allowed folder path:
{
"mcpServers": { "image-puma": { "command": "/usr/local/bin/npx", "args": [ "-y", "image-puma", "mcp", "serve", "--transport", "stdio", "--allow-dir", "/Users/you/Pictures" ] } } }
Use absolute paths everywhere in mcpServers JSON — for the allowed folders and for command. Run command -v npx in your terminal and paste whatever it prints in place of /usr/local/bin/npx. On native Windows, use "command": "cmd" with "/c" and "npx" as the first two args instead.
Once installed (any of the ways above), just ask Claude in plain language:
You: Compress the images in
~/Pictures/sitefor web upload
Claude: Here's the plan — 14 images accepted, converting to WebP, resized for web, metadata stripped. It lists the exact output paths so you can see nothing gets overwritten. Run it?
You: yes
Claude: Done — 14 of 14 succeeded, 41.8 MB in, 3.6 MB out.
Image Puma always plans first: you see which files it accepted, what settings apply, and where every output will be written — nothing touches disk until you confirm. And it can only see the folders you allowed during install.
Example prompts:
/Users/you/Pictures/site/Users/you/Desktop/photos/Users/you/Downloads/Users/you/Pictures/products/Users/you/Projects/my-app/logo.png into /Users/you/Projects/my-app/public/image-puma commandImage Puma ships one slash command that tells Claude to handle whatever image job you describe with the Image Puma tools — plan first, confirm, then run:
/image-puma compress everything in ~/Pictures/site for the web
In the Claude Code terminal, type /image-puma and the command menu finds it (its full name is /mcp__image-puma__image-puma). In Claude Desktop, the same prompt lives under the + menu in the chat input, listed under Image Puma.
For a bare /image-puma command that also works in the VS Code extension (whose command menu doesn't list MCP prompts), save this as ~/.claude/commands/image-puma.md:
---
description: Batch image work via Image Puma (compress, resize, strip metadata, thumbnails, favicons)
Use the Image Puma MCP tools for this local image task: $ARGUMENTS
If no task was given, ask which images to process and what result is wanted.
Create a plan first with image_puma_plan — plan only, do not run it yet. Pick a preset with image_puma_list_presets, or use custom settings (schema via image_puma_settings_schema). Show the returned plan, warnings, and planned output paths, and call image_puma_run only after the user explicitly confirms.
New sessions then get /image-puma everywhere — terminal and VS Code — as long as the MCP server from "Add it to Claude Code" above is registered.
Quick favicon generation is available through image_puma_generate_favicon.
claude mcp list shows Image Puma as failed, with ENOENT: Executable not found in $PATH: "npx" (or "node"):
image-puma: npx -y image-puma mcp serve ... - ✘ Failed to connect
Your MCP client launches servers with a minimal PATH that never sources ~/.zshrc or ~/.bashrc, so a Node installed through nvm, fnm, Volta, or asdf is invisible to it even though your terminal finds it fine. Fix it by re-registering with an absolute path:
claude mcp remove image-puma -s user
claude mcp add --scope user image-puma -- "$(command -v npx)" -y image-puma mcp serve --transport stdio --allow-dir ~/Pictures
Then start a new session and check claude mcp list again.
One catch if you use nvm: command -v npx resolves to a version-pinned path like ~/.nvm/versions/node/v24.13.1/bin/npx, which stops existing the next time you upgrade Node. Either re-run the two commands above after an upgrade, or point Image Puma at a Node that isn't managed by nvm (/opt/homebrew/bin/node or /usr/local/bin/node) so the path stays valid. Image Puma needs Node 20.3.0 or newer.
Claude Desktop users can skip all of this — the .mcpb bundle above ships with its own Node runtime.
npx image-puma to a local checkoutOn Windows, running npx image-puma ... from inside a directory named image-puma (case-insensitively), such as a clone of this repository, can make npm resolve the package name to that local directory instead of the published package. If the checkout has not been built, the command fails with 'image-puma' is not recognized as an internal or external command.
Run the npx image-puma ... command from a different working directory. When developing from a clone, build it with npm run build:mcp and point the MCP server directly at the local dist/cli.js instead of invoking it through npx.
Run the built-in check, which reports Node version, Sharp, ExifTool, and whether your allowed folders are actually writable:
npx -y image-puma mcp doctor --allow-dir ~/Pictures
Image Puma is released as-is by Pantheon Network. We are not actively fixing bugs or reviewing pull requests. If you'd like to take over maintenance, contact us. Development setup, checks, and the build process are in CONTRIBUTING.md.
Format and OS behavior is documented in docs/support-matrix.md. HEIC/HEIF uses Sharp first. macOS can fall back to ImageIO through sips. Windows and Linux fall back to the bundled libheif decoder when Sharp cannot decode HEVC.