Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者提供的说明(英文原文)
30 GPU-powered AI services as MCP tools. LLM, image, video, audio, embeddings & more.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
GPUBRIDGE_API_KEY标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"gpu-bridge": {
"command": "npx",
"args": [
"-y",
"@gpu-bridge/mcp-server"
],
"env": {
"GPUBRIDGE_API_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add gpu-bridge --env GPUBRIDGE_API_KEY=your-value -- npx -y @gpu-bridge/mcp-server运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"gpu-bridge": {
"command": "npx",
"args": [
"-y",
"@gpu-bridge/mcp-server"
],
"env": {
"GPUBRIDGE_API_KEY": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"gpu-bridge": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@gpu-bridge/mcp-server"
],
"env": {
"GPUBRIDGE_API_KEY": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
发布者(fjnunezp75)不是仓库所有者(gpu-bridge);可能是其他人代为上架的
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 0 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:GPUBRIDGE_API_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(2.4.3)于8个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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.
The Figma MCP server brings Figma design context directly into your AI workflow.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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