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30 GPU-powered AI services as MCP tools. LLM, image, video, audio, embeddings & more.
30 GPU-powered AI services as MCP tools. LLM, image, video, audio, embeddings & more.
Valid MCP server (2 strong, 4 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
3 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: GPUBRIDGE_API_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-fjnunezp75-gpu-bridge": {
"env": {
"GPUBRIDGE_API_KEY": "your-gpubridge-api-key-here"
},
"args": [
"-y",
"@gpu-bridge/mcp-server"
],
"command": "npx"
}
}
}From the project's GitHub README.
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
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