About Gpu Bridge Mcp Server
GPU-Bridge exposes GPU inference services as tools for Claude and other MCP-compatible AI systems. Its services cover language models, image, audio and video tasks, embeddings, reranking, and document parsing, with API-key access or per-request USDC payments through x402.
Key features
- 01Runs GPU inference services through tools
- 02Covers text, image, audio, and video tasks
- 03Offers embeddings, reranking, and PDF parsing
- 04Checks catalog, cost estimates, and job status
- 05Supports x402 and USDC payments
Use cases
- 01Run language models or code generation in MCP chats
- 02Generate image, speech, or video content
- 03Transcribe audio and identify speakers
- 04Parse documents and create text embeddings
MCP support
It exposes GPU-Bridge inference services as MCP tools for running services, browsing the catalog, estimating costs, checking job status, and viewing account balance.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y @gpu-bridge/mcp-serverGPUBRIDGE_API_KEYSecretGPU-Bridge API key (get one at https://gpubridge.io). Starts with gpub_. Optional if using x402 micropayments.Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
5Saved tool list · updated 3w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| service | string | Yes | Service key. Common ones: llm-4090 (text), image-4090 (image), video (video), whisper-l4 (speech-to-text), tts-l4 (text-to-speech), embedding-l4 (embeddings), rembg-l4 (bg removal), upscale-l4 (upscale), ocr (text extraction), caption (image caption), face-restore, musicgen-l4, llava-4090 (visual Q&A), sticker, whisperx (diarized STT), bark (expressive TTS), voice-clone, photomaker, ad-inpaint, animate, image-variation, inpaint, controlnet, clip, segmentation, rerank (document reranking), nsfw-detect (content moderation), video-enhance (video upscaling), pdf-parse (document parsing) |
| input | object | Yes | Service-specific input. Examples: LLM {"prompt":"...","max_tokens":512,"model":"llama-3.3-70b-versatile"}, Image {"prompt":"..."}, Whisper {"audio_url":"https://..."}, TTS {"text":"...","voice":"af_alloy"}, Embedding {"text":"..."}, OCR/Rembg/Upscale/Caption {"image_url":"https://..."}, Video {"prompt":"..."} |
| priority | enum | No | Routing priority. "fast" = lowest latency (default), "cheap" = lowest cost.fast | cheap |
Details
From the project READMEGPU-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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.