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Gpu Bridge Mcp Server

Gpu Bridge Mcp Server

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github.com/gpu-bridgeDeveloper Tools2Updated 32w ago

About Gpu Bridge Mcp Server

GPU-Bridge exposes GPU inference services as tools for Claude and other MCP-compatible AI systems. Its services cover language models, image, audio and video tasks, embeddings, reranking, and document parsing, with API-key access or per-request USDC payments through x402.

Key features

  1. 01Runs GPU inference services through tools
  2. 02Covers text, image, audio, and video tasks
  3. 03Offers embeddings, reranking, and PDF parsing
  4. 04Checks catalog, cost estimates, and job status
  5. 05Supports x402 and USDC payments

Use cases

  1. 01Run language models or code generation in MCP chats
  2. 02Generate image, speech, or video content
  3. 03Transcribe audio and identify speakers
  4. 04Parse documents and create text embeddings

MCP support

It exposes GPU-Bridge inference services as MCP tools for running services, browsing the catalog, estimating costs, checking job status, and viewing account balance.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"gpu-bridge": {
"command": "npx",
"args": [
"-y",
"@gpu-bridge/mcp-server"
],
"env": {
"GPUBRIDGE_API_KEY": "<GPUBRIDGE_API_KEY>"
}
}
}
}
Run commandnpx -y @gpu-bridge/mcp-server
Environment variables to set
GPUBRIDGE_API_KEYSecretGPU-Bridge API key (get one at https://gpubridge.io). Starts with gpub_. Optional if using x402 micropayments.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@gpu-bridge/mcp-server2.4.3

Tools

5

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
servicestringYesService key. Common ones: llm-4090 (text), image-4090 (image), video (video), whisper-l4 (speech-to-text), tts-l4 (text-to-speech), embedding-l4 (embeddings), rembg-l4 (bg removal), upscale-l4 (upscale), ocr (text extraction), caption (image caption), face-restore, musicgen-l4, llava-4090 (visual Q&A), sticker, whisperx (diarized STT), bark (expressive TTS), voice-clone, photomaker, ad-inpaint, animate, image-variation, inpaint, controlnet, clip, segmentation, rerank (document reranking), nsfw-detect (content moderation), video-enhance (video upscaling), pdf-parse (document parsing)
inputobjectYesService-specific input. Examples: LLM {"prompt":"...","max_tokens":512,"model":"llama-3.3-70b-versatile"}, Image {"prompt":"..."}, Whisper {"audio_url":"https://..."}, TTS {"text":"...","voice":"af_alloy"}, Embedding {"text":"..."}, OCR/Rembg/Upscale/Caption {"image_url":"https://..."}, Video {"prompt":"..."}
priorityenumNoRouting priority. "fast" = lowest latency (default), "cheap" = lowest cost.fast | cheap

Details

From the project 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

{
  "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
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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.