Gpu Bridge

io.github.fjnunezp75由 GitHub 帳號 fjnunezp75 發布v2.4.3更新於 Oct 24, 2026

30 GPU-powered AI services as MCP tools. LLM, image, video, audio, embeddings & more.

已驗證STDIO僅桌面媒體與設計AI 與機器學習

概覽

AI 產生的概覽

把 30 項付費 GPU 推論服務(大型語言模型、影像、影片、音訊、向量與 PDF 解析)包裝成 MCP 工具,讓助理呼叫並查看結果。

可以做什麼
  • 依服務鍵執行任一 GPU-Bridge 服務,可指定輸入參數與 fast 或 cheap 優先順序
  • 瀏覽服務目錄及其價格與能力,並在執行前估算費用
  • 查詢任務狀態並取得結果
  • 查看餘額、每日支出與用量折扣級距
  • 涵蓋大型語言模型、影像生成與分析、語音轉錄、語音合成、音樂與音效、向量嵌入、重排序、影片與 PDF 解析
適用情境
適合希望助理直接呼叫託管 GPU 模型完成文字、影像、音訊、影片、向量或文件解析工作,而不自行維運推論基礎設施的情境,尤其是可接受按次計費的零星任務。
執行需求
透過 npx 從 npm 套件 @gpu-bridge/mcp-server 在本機執行,需寫入桌面用戶端設定檔。需要 GPUBRIDGE_API_KEY 環境變數中的 GPU-Bridge API 金鑰,或改用 x402 微支付。需要連線至 GPU-Bridge API 的網路。
安裝前請注意
每次執行都按次以美元計費,使用越多花費越高,建議先估算並查看餘額。API 金鑰是需透過環境變數傳遞的機密。x402 方式需用錢包私鑰在鏈上以 USDC 付款,私鑰屬高價值機密,務必妥善保護。提示詞、媒體與文件會傳送給第三方服務。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Gpu Bridge,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

GPU-Bridge MCP Server

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.

[npm version] [License: MIT] [MCP Compatible]

What is GPU-Bridge?

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.


Install in Claude Desktop (2 minutes)

1. Get your API key (or use x402 for autonomous agents)

Visit gpubridge.io and grab a free API key, or use the x402 protocol for keyless agent payments.

2. Add to claude_desktop_config.json

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

json
{  "mcpServers": {    "gpu-bridge": {      "command": "npx",      "args": ["-y", "@gpu-bridge/mcp-server"],      "env": {        "GPUBRIDGE_API_KEY": "your_api_key_here"      }    }  }}

3. Restart Claude Desktop

That's it. Claude now has access to 30 GPU-powered AI services.


MCP Tools

gpu_run

Run 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_catalog

Get the full catalog of available services with pricing and capabilities.

gpu_estimate

Estimate cost before running a service. No authentication required.

gpu_status

Check the status of a job and retrieve results.

gpu_balance

Check your current balance, daily spend, and volume discount tier.


30 Available Services

Language Models (LLMs)

Service IDDescriptionNotes
llm-4090General purpose LLMSub-second via Groq
llm-a100Maximum capability LLMLargest models
llm-l4Ultra-fast, low cost LLMBudget option
code-4090Code generationOptimized for code
llm-streamStreaming LLM responsesReal-time output

Image Generation

Service IDDescriptionNotes
flux-schnellFLUX.1 SchnellFast, 4-step generation
flux-devFLUX.1 DevHigh quality
sdxl-4090Stable Diffusion XLVersatile
sd35-l4Stable Diffusion 3.5Latest SD model
img2img-4090Image-to-imageStyle transfer, editing

Vision & Image Analysis

Service IDDescriptionNotes
llava-4090Visual Q&AImage understanding
ocr-l4Text extraction (OCR)Multi-language
rembg-l4Background removalInstant
caption-4090Image captioningAuto-describe images
nsfw-detectContent moderationNSFW classification

Speech-to-Text

Service IDDescriptionNotes
whisper-l4Fast transcriptionSub-second
whisper-a100High accuracy transcriptionLarge files
diarize-l4Speaker diarizationWho said what

Text-to-Speech

Service IDDescriptionNotes
tts-l4Voice cloning TTS40+ voices
tts-fastUltra-fast TTSLowest latency
bark-4090Expressive TTSEmotion, laughter

Audio Generation

Service IDDescriptionNotes
musicgen-l4Music generationText-to-music
audiogen-l4Sound effectsText-to-SFX

Embeddings & Search

Service IDDescriptionNotes
embed-l4Text embeddingsMultilingual
embed-codeCode embeddingsFor code search
rerankDocument rerankingJina, sub-second

Video

Service IDDescriptionNotes
animatediffText-to-videoAnimateDiff
video-enhanceVideo upscalingUp to 4K

Utilities

Service IDDescriptionNotes
pdf-parseDocument parsingPDF/DOCX to text

x402: For Autonomous AI Agents

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

Python Example with x402

python
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())

Pricing

CategoryStarting 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.


Links


License

MIT © Healthtech Capital LLC

來源:README.md,提交 033b2c1

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版本歷史

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  1. v2.4.3最新Sep 16, 2026

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