Install
$ agentstack add mcp-gpu-bridge-mcp-server Open-source listing, not yet scanned by AgentStack. Follow the source repository for install instructions.
Security review
⚠ Flagged1 finding(s); flagged for manual review. · v0.1.0 How review works →
- • Prompt-injection patterns
- • Secret / credential exfiltration
- • Dangerous shell & filesystem operations
- • Untrusted network calls
- • Known-malicious package signatures
- high Reads credentials/environment and may exfiltrate them.
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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.
[](https://www.npmjs.com/package/@gpu-bridge/mcp-server) [](https://opensource.org/licenses/MIT) [](https://modelcontextprotocol.io)
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
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: gpu-bridge
- Source: gpu-bridge/mcp-server
- License: MIT
- Homepage: https://gpubridge.io
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.