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)
Ultra-fast image generation, editing, upscaling, and video generation via Pruna AI.
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.
PRUNA_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"pruna": {
"command": "uvx",
"args": [
"pruna-mcp-server"
],
"env": {
"PRUNA_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add pruna --env PRUNA_API_KEY=your-value -- uvx pruna-mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"pruna": {
"command": "uvx",
"args": [
"pruna-mcp-server"
],
"env": {
"PRUNA_API_KEY": "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": {
"pruna": {
"type": "stdio",
"command": "uvx",
"args": [
"pruna-mcp-server"
],
"env": {
"PRUNA_API_KEY": "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.
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These 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 7, 2026
The registry name was verified with the GitHub account charlesrapp, 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.
You need to fill in: PRUNA_API_KEY
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 (0.1.1) reached the registry 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) 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:★ 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 Pruna AI — ultra-fast image generation, editing, upscaling, and video generation directly from your AI assistant.
Pruna AI is an inference API specialized in image and video generation. It offers sub-2-second image generation starting at $0.005/image, with models for text-to-image, image editing, upscaling, and video generation. This MCP server wraps their API so any MCP-compatible client (Claude Desktop, Kiro, Cursor) can generate visual content natively.
Conforms to MCP Specification 2025-11-25.
generate_image, edit_image, try_on_image, upscale_image, generate_video, transform_video, list_models, upload_filepruna://models catalog for model discovery without tool callsImageContent blocks for clients that support inline display# With uvx (zero install)
uvx pruna-mcp-server
pip install pruna-mcp-server pruna-mcp
Set your API key — get one at pruna.ai (go to the developer portal or contact Pruna to request access):
# macOS Keychain (recommended)
security add-generic-password -a $USER -s PRUNA_API_KEY -w "your-api-key"
secret-tool store --label="Pruna API Key" service pruna-mcp-server key api_key <<< "your-api-key"
export PRUNA_API_KEY="your-api-key"
Add to your agent config (e.g. ~/.kiro/agents/default.json):
In mcpServers:
"pruna": {
"command": "sh", "args": ["-c", "PRUNA_API_KEY=$(security find-generic-password -a $USER -s PRUNA_API_KEY -w) uv run --directory /path/to/pruna-mcp-server pruna-mcp"], "autoApprove": ["generate_image", "edit_image", "try_on_image", "upscale_image", "generate_video", "transform_video", "list_models", "upload_file"] }
In tools, add: "@pruna/*"
In allowedTools, add: "generate_image", "edit_image", "try_on_image", "upscale_image", "generate_video", "transform_video", "list_models", "upload_file"
Note: Kiro agents use a
toolswhitelist with@server-name/*syntax and anallowedToolslist. Both must include the Pruna tools for them to be available.
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):
{
"mcpServers": { "pruna": { "command": "sh", "args": ["-c", "PRUNA_API_KEY=$(security find-generic-password -a $USER -s PRUNA_API_KEY -w) /path/to/uv run --directory /path/to/pruna-mcp-server pruna-mcp"] } } }
Important: Use the full path to
uv(e.g./Users/you/.local/bin/uv) — Claude Desktop launches processes with a minimal PATH that doesn't include~/.local/bin.
Note: Claude Desktop does not render
ImageContentinline in the chat. The image is generated and saved locally — Claude will reference the file path in its response.
Add to .cursor/mcp.json:
{
"mcpServers": { "pruna": { "command": "uvx", "args": ["pruna-mcp-server"], "env": { "PRUNA_API_KEY": "your-api-key" } } } }
| Tool | Description | Pricing |
|---|---|---|
generate_image | Text-to-image with 10 models | From $0.0001/image |
edit_image | Edit 1-5 images with text instructions | From $0.010/image |
try_on_image | Virtual try-on: fit up to 11 garments onto a person | $0.015 first + $0.008/extra garment |
upscale_image | AI upscaling up to 128 megapixels | From $0.005/image |
generate_video | Text/image/audio to video | From $0.005/s |
transform_video | Video-to-video: animate a subject or replace characters | $0.03/s (720p), $0.06/s (1080p) |
list_models | Browse all available models with pricing | Free |
upload_file | Upload files for editing/video workflows | Free |
Image tools return both a JSON metadata block and a native MCP ImageContent block (base64, for images < 5MB).
Video tools return a JSON metadata block (including a download_url to the Pruna delivery URL), the .mp4 as a native MCP binary resource (EmbeddedResource blob, for videos < 25MB) so clients materialize the file the same way they save images, and a ResourceLink to the same delivery URL as a fallback for larger files. All tools return an absolute file_path.
Built-in workflow templates for common use cases:
| Prompt | Use Case | Example |
|---|---|---|
product-photo | E-commerce product shots | "white leather sneakers on clean background" |
virtual-staging | Real estate room staging | Stage empty rooms with furniture |
social-media-visual | Platform-optimized visuals | Auto aspect ratio per platform |
game-concept-art | Game assets & environments | Characters, weapons, landscapes |
ad-creative | Digital ads with text overlay | Headlines rendered in the image |
video-ad | Short video ads | Talking heads, product demos |
image-enhance | Upscale + enhance workflow | AI-generated image refinement |
| Environment Variable | Required | Default | Description |
|---|---|---|---|
PRUNA_API_KEY | ✅ | — | Your Pruna AI API key |
PRUNA_OUTPUT_DIR | — | ~/pruna-output | Directory for downloaded files |
PRUNA_POLL_INTERVAL | — | 2 | Seconds between async polls |
PRUNA_TIMEOUT | — | 120 | HTTP timeout in seconds |
PRUNA_MAX_RETRIES | — | 3 | Max retries on transient errors |
| Client | Transport | Status | Notes |
|---|---|---|---|
| Kiro CLI | STDIO | ✅ Tested | Requires tools + allowedTools config |
| Claude Desktop | STDIO | ✅ Tested | Use full path to uv; no inline image display |
| Cursor | STDIO | 🔲 Planned | — |
| Claude Code | STDIO | 🔲 Planned | — |
git clone https://github.com/charlesrapp/pruna-mcp-server.git
cd pruna-mcp-server uv sync --extra dev
uv run pytest --cov
uv run ruff check src/ tests/ uv run mypy src/
See CONTRIBUTING.md for guidelines.
MIT — see LICENSE.