io.github.fjnunezp75/gpu-bridge
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).
@gpu-bridge/mcp-serverclaude mcp add gpu-bridge -e 'GPUBRIDGE_API_KEY=<your gpubridge_api_key>' -- npx -y @gpu-bridge/mcp-server@2.4.3
{
"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_KEYsecret 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
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 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
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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