io.github.fjnunezp75/gpu-bridge

Official registry Media and design

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

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package @gpu-bridge/mcp-server
Claude Code
claude mcp add gpu-bridge -e 'GPUBRIDGE_API_KEY=<your gpubridge_api_key>' -- npx -y @gpu-bridge/mcp-server@2.4.3
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "gpu-bridge": {
            "command": "npx",
            "args": [
                "-y",
                "@gpu-bridge/mcp-server@2.4.3"
            ],
            "env": {
                "GPUBRIDGE_API_KEY": "<your gpubridge_api_key>"
            }
        }
    }
}

Environment variables

  • GPUBRIDGE_API_KEY secret GPU-Bridge API key (get one at https://gpubridge.io). Starts with gpub_. Optional if using x402 micropayments.

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. GPU-Bridge MCP Server
  2. What is GPU-Bridge?
  3. Install in Claude Desktop (2 minutes)
  4. MCP Tools
  5. 30 Available Services
  6. x402: For Autonomous AI Agents
  7. Pricing
  8. Links
  9. License

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.

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

{
  "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
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
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.



License

MIT © Healthtech Capital LLC

Frequently asked questions

What is io.github.fjnunezp75/gpu-bridge?

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

How do I install io.github.fjnunezp75/gpu-bridge?

It runs on your machine. In Claude Code: claude mcp add gpu-bridge -e 'GPUBRIDGE_API_KEY=<your gpubridge_api_key>' -- npx -y @gpu-bridge/mcp-server@2.4.3. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.fjnunezp75/gpu-bridge need an API key?

Yes. It expects GPUBRIDGE_API_KEY, which you set in its configuration.

Is io.github.fjnunezp75/gpu-bridge open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.fjnunezp75/gpu-bridge?

It is published by gpu-bridge. AI.tn lists it but does not maintain or endorse it.

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