Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
30 GPU-powered AI services as MCP tools. LLM, image, video, audio, embeddings & more.
Pick the AI app you use, then copy the settings.
Passed 1/3 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
You need a Gpu Bridge key (create it on the maker’s site) · Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Node.js
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
SettingsDeveloperEdit Config
Checking the commands · copy buttons appear once they pass
Paste the key only into the app’s field, never into a chat or to anyone
Use Gpu Bridge and tell me what you can do for me, then show me one thing✓ If Claude says it is using Gpu Bridge or shows a Gpu Bridge tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect Gpu Bridge yet
Gpu Bridge runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect Gpu Bridge
B · Others in Design, images & audio that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
You need a Gpu Bridge key (create it on the maker’s site) · Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Checking the commands · copy buttons appear once they pass
Replace “your-value” with your key before pressing Enter
Paste the key only into the app’s field, never into a chat or to anyone
You should see Gpu Bridge listed as connected
Use Gpu Bridge and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Gpu Bridge or shows a Gpu Bridge tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
You need a Gpu Bridge key (create it on the maker’s site) · Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Checking the commands · copy buttons appear once they pass
In the Gpu Bridge settings, GPUBRIDGE_API_KEY is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Use Gpu Bridge and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Gpu Bridge or shows a Gpu Bridge tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
You need a Gpu Bridge key (create it on the maker’s site) · Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Checking the commands · copy buttons appear once they pass
In the Gpu Bridge settings, GPUBRIDGE_API_KEY is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Use Gpu Bridge and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Gpu Bridge or shows a Gpu Bridge tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
JSON settings are under “For developers” below
Claude Code
Checking the commands · copy buttons appear once they pass
Claude Desktop (claude_desktop_config.json)
Checking the commands · copy buttons appear once they pass
Cursor (~/.cursor/mcp.json)
Checking the commands · copy buttons appear once they pass
VS Code (mcp.json)
Checking the commands · copy buttons appear once they pass
GPUBRIDGE_API_KEY secret envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
npm: @gpu-bridge/mcp-serverBased on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
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 13, 2026
The publisher (fjnunezp75) is not the repo owner (gpu-bridge); someone else may have listed it
Code last changed 8 months ago, more than 6 months ago
Uses MIT
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
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
No posts yet. Be the first to ask or share.
Posts here are written by users, not the PopNx team.
No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 3 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: GPUBRIDGE_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 8 months ago, and the latest version (2.4.3) reached the registry 8 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, AutoClip, Next AI Draw.io
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.
Clip long videos into short clips with covers and captions. Local CLI and MCP.
draw.io diagrams your AI agent draws on a live browser canvas that you can also edit by hand
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.
30 GPU-powered AI services as MCP tools — LLMs, image generation, audio, video, embeddings, reranking, PDF parsing, NSFW detection & more.
x402 native for autonomous AI agents: pay per request on-chain with USDC on Base L2. No API keys. No accounts.
GPU-Bridge is a unified GPU inference API with native x402 support — the open payment protocol that allows AI agents to autonomously pay for compute with USDC on Base L2. No API keys, no accounts, no human intervention required.
This MCP server exposes all 30 GPU-Bridge services as Model Context Protocol tools, giving Claude (and any MCP-compatible AI) direct access to GPU inference.
Visit gpubridge.io and grab a free API key, or use the x402 protocol for keyless agent payments.
claude_desktop_config.jsonmacOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": { "gpu-bridge": { "command": "npx", "args": ["-y", "@gpu-bridge/mcp-server"], "env": { "GPUBRIDGE_API_KEY": "your_api_key_here" } } } }
That's it. Claude now has access to 30 GPU-powered AI services.
gpu_runRun any GPU-Bridge service. The primary tool for executing AI tasks.
Parameters:
service (string) — Service key (e.g., "llm-4090", "flux-schnell", "whisper-l4") input (object) — Service-specific input parameters priority (string) — Optional: "fast" (lowest latency) or "cheap" (lowest cost)
gpu_catalogGet the full catalog of available services with pricing and capabilities.
gpu_estimateEstimate cost before running a service. No authentication required.
gpu_statusCheck the status of a job and retrieve results.
gpu_balanceCheck your current balance, daily spend, and volume discount tier.
| Service ID | Description | Notes |
|---|---|---|
llm-4090 | General purpose LLM | Sub-second via Groq |
llm-a100 | Maximum capability LLM | Largest models |
llm-l4 | Ultra-fast, low cost LLM | Budget option |
code-4090 | Code generation | Optimized for code |
llm-stream | Streaming LLM responses | Real-time output |
| Service ID | Description | Notes |
|---|---|---|
flux-schnell | FLUX.1 Schnell | Fast, 4-step generation |
flux-dev | FLUX.1 Dev | High quality |
sdxl-4090 | Stable Diffusion XL | Versatile |
sd35-l4 | Stable Diffusion 3.5 | Latest SD model |
img2img-4090 | Image-to-image | Style transfer, editing |
| Service ID | Description | Notes |
|---|---|---|
llava-4090 | Visual Q&A | Image understanding |
ocr-l4 | Text extraction (OCR) | Multi-language |
rembg-l4 | Background removal | Instant |
caption-4090 | Image captioning | Auto-describe images |
nsfw-detect | Content moderation | NSFW classification |
| Service ID | Description | Notes |
|---|---|---|
whisper-l4 | Fast transcription | Sub-second |
whisper-a100 | High accuracy transcription | Large files |
diarize-l4 | Speaker diarization | Who said what |
| Service ID | Description | Notes |
|---|---|---|
tts-l4 | Voice cloning TTS | 40+ voices |
tts-fast | Ultra-fast TTS | Lowest latency |
bark-4090 | Expressive TTS | Emotion, laughter |
| Service ID | Description | Notes |
|---|---|---|
musicgen-l4 | Music generation | Text-to-music |
audiogen-l4 | Sound effects | Text-to-SFX |
| Service ID | Description | Notes |
|---|---|---|
embed-l4 | Text embeddings | Multilingual |
embed-code | Code embeddings | For code search |
rerank | Document reranking | Jina, sub-second |
| Service ID | Description | Notes |
|---|---|---|
animatediff | Text-to-video | AnimateDiff |
video-enhance | Video upscaling | Up to 4K |
| Service ID | Description | Notes |
|---|---|---|
pdf-parse | Document parsing | PDF/DOCX to text |
GPU-Bridge supports the x402 payment protocol, enabling truly autonomous AI agents to pay for compute without human intervention.
Agent Request → GPU-Bridge returns HTTP 402 Payment Required
↓ Agent pays USDC on Base L2 (gas < $0.01, settles in 2s) ↓ Agent retries with payment proof → GPU-Bridge executes and returns result
from x402.client import PaymentClient
client = PaymentClient(private_key="0x...", chain="base")
response = client.request( "POST", "https://api.gpubridge.io/v1/run", json={ "service": "flux-schnell", "input": {"prompt": "A robot painting on a canvas", "steps": 4} } ) print(response.json())
| Category | Starting From |
|---|---|
| LLMs | $0.003/1K tokens |
| Image Generation | $0.01/image |
| Speech-to-Text | $0.005/minute |
| Text-to-Speech | $0.005/1K chars |
| Embeddings | $0.0001/1K tokens |
| Reranking | $0.001/query |
| PDF Parsing | $0.005/document |
All prices in USD. x402 payments in USDC on Base L2.
MIT © Healthtech Capital LLC