Gpu Bridge

io.github.fjnunezp75Published by GitHub account fjnunezp75v2.4.3Updated Oct 24, 2026

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

VerifiedSTDIODesktop onlyMedia & DesignAI & ML

Overview

AI-generated overview

Exposes 30 paid GPU inference services — LLMs, image, video, audio, embeddings and PDF parsing — as MCP tools an assistant can run and monitor.

What you can do
  • Run any GPU-Bridge service by key with service-specific input and a fast or cheap priority
  • Browse the service catalog with pricing and capabilities, and estimate cost before running
  • Check job status and retrieve results
  • Check balance, daily spend and volume discount tier
  • Cover LLMs, image generation and analysis, speech-to-text, text-to-speech, music and sound effects, embeddings, reranking, video and PDF parsing
When to use it
Useful when an assistant should call hosted GPU models for text, image, audio, video, embedding or document-parsing work without managing its own inference infrastructure, especially for one-off tasks where per-request pricing is acceptable.
Requirements
Runs locally via npx from the npm package @gpu-bridge/mcp-server, configured in the desktop client's config file. Needs a GPU-Bridge API key in the GPUBRIDGE_API_KEY environment variable, or x402 micropayments instead. Network access to the GPU-Bridge API.
Before you install
Every run is billed per request in USD, so costs accumulate with use; check estimates and balance. The API key is a secret passed in the environment. The x402 option pays on-chain in USDC from a wallet private key, which is a high-value secret to protect. Prompts, media and documents are sent to a third-party service.

Installation

In SourceWeft

  1. Open Gpu Bridge in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

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

Source: README.md at commit 033b2c1

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v2.4.3LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts