gpu-bridge-mcp-server
Unified AI compute API gateway for agents. Access 30+ services and 95+ models across 8 backends (Groq, Together AI, DeepInfra, Fireworks, Replicate, RunPod) with native x402 USDC payments, Stripe, and crypto top-up.
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.
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
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.