gpu-bridge/mcp-server
FreeNot checkedUnified GPU inference API with 30 AI services (LLM, image gen, video, TTS, whisper, embeddings, reranking, OCR) as MCP tools. Pay-per-use via x402 USDC or API k
About
Unified GPU inference API with 30 AI services (LLM, image gen, video, TTS, whisper, embeddings, reranking, OCR) as MCP tools. Pay-per-use via x402 USDC or API key credits.
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.
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 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 |
Image Generation
| 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 |
Vision & Image Analysis
| 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 |
Speech-to-Text
| Service ID | Description | Notes |
|---|---|---|
whisper-l4 |
Fast transcription | Sub-second |
whisper-a100 |
High accuracy transcription | Large files |
diarize-l4 |
Speaker diarization | Who said what |
Text-to-Speech
| Service ID | Description | Notes |
|---|---|---|
tts-l4 |
Voice cloning TTS | 40+ voices |
tts-fast |
Ultra-fast TTS | Lowest latency |
bark-4090 |
Expressive TTS | Emotion, laughter |
Audio Generation
| Service ID | Description | Notes |
|---|---|---|
musicgen-l4 |
Music generation | Text-to-music |
audiogen-l4 |
Sound effects | Text-to-SFX |
Embeddings & Search
| Service ID | Description | Notes |
|---|---|---|
embed-l4 |
Text embeddings | Multilingual |
embed-code |
Code embeddings | For code search |
rerank |
Document reranking | Jina, sub-second |
Video
| Service ID | Description | Notes |
|---|---|---|
animatediff |
Text-to-video | AnimateDiff |
video-enhance |
Video upscaling | Up to 4K |
Utilities
| Service ID | Description | Notes |
|---|---|---|
pdf-parse |
Document parsing | PDF/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
| 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.
Links
- Website: gpubridge.io
- Docs: gpubridge.io/docs
- Catalog: gpubridge.io/catalog
- GitHub: github.com/gpu-bridge
- npm: @gpu-bridge/mcp-server
License
MIT © Healthtech Capital LLC
Installing gpu-bridge/mcp-server
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/gpu-bridge/mcp-serverFAQ
Is gpu-bridge/mcp-server MCP free?
Yes, gpu-bridge/mcp-server MCP is free — one-click install via Unyly at no cost.
Does gpu-bridge/mcp-server need an API key?
Yes, it requires environment variables: GPUBRIDGE_API_KEY. Unyly injects them into the config during install.
Is gpu-bridge/mcp-server hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install gpu-bridge/mcp-server in Claude Desktop, Claude Code or Cursor?
Open gpu-bridge/mcp-server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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