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.
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.
Related MCP server: hive-mcp-compute
Visit gpubridge.io and grab a free API key, or use the x402 protocol for keyless agent payments.
claude_desktop_config.jsonmacOS: ~/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"
}
}
}
}That's it. Claude now has access to 30 GPU-powered AI services.
gpu_runRun 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_catalogGet the full catalog of available services with pricing and capabilities.
gpu_estimateEstimate cost before running a service. No authentication required.
gpu_statusCheck the status of a job and retrieve results.
gpu_balanceCheck your current balance, daily spend, and volume discount tier.
Service ID | Description | Notes |
| General purpose LLM | Sub-second via Groq |
| Maximum capability LLM | Largest models |
| Ultra-fast, low cost LLM | Budget option |
| Code generation | Optimized for code |
| Streaming LLM responses | Real-time output |
Service ID | Description | Notes |
| FLUX.1 Schnell | Fast, 4-step generation |
| FLUX.1 Dev | High quality |
| Stable Diffusion XL | Versatile |
| Stable Diffusion 3.5 | Latest SD model |
| Image-to-image | Style transfer, editing |
Service ID | Description | Notes |
| Visual Q&A | Image understanding |
| Text extraction (OCR) | Multi-language |
| Background removal | Instant |
| Image captioning | Auto-describe images |
| Content moderation | NSFW classification |
Service ID | Description | Notes |
| Fast transcription | Sub-second |
| High accuracy transcription | Large files |
| Speaker diarization | Who said what |
Service ID | Description | Notes |
| Voice cloning TTS | 40+ voices |
| Ultra-fast TTS | Lowest latency |
| Expressive TTS | Emotion, laughter |
Service ID | Description | Notes |
| Music generation | Text-to-music |
| Sound effects | Text-to-SFX |
Service ID | Description | Notes |
| Text embeddings | Multilingual |
| Code embeddings | For code search |
| Document reranking | Jina, sub-second |
Service ID | Description | Notes |
| Text-to-video | AnimateDiff |
| Video upscaling | Up to 4K |
Service ID | Description | Notes |
| Document parsing | PDF/DOCX to text |
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 resultfrom 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())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.
Website: gpubridge.io
Docs: gpubridge.io/docs
Catalog: gpubridge.io/catalog
GitHub: github.com/gpu-bridge
MIT © Healthtech Capital LLC
Check GPU-Bridge credit balance, daily spend, volume discount tier, and job history.
Inputs: no named parameters.
List all available GPU-Bridge services with pricing and model info. No authentication required.
Inputs: no named parameters.
Estimate the cost of a GPU-Bridge service before running it. No authentication required.
Inputs: service (required), seconds.
Run any GPU-Bridge AI service. 30 services available: LLM inference (sub-second), image generation (FLUX, SD3.5), video generation, video enhancement (up to 4K), speech-to-text (Whisper, <1s), TTS (40+ voices), music generation, voice cloning, embeddings, document reranking (Jina), OCR, PDF/document parsing, NSFW detection, image captioning, visual Q&A, background removal, face restoration, upscaling, stickers, and more. Use gpu_catalog to see all available services.
Inputs: service (required), input (required), priority.
Check the status of a GPU-Bridge job and retrieve results.
Inputs: job_id (required).
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Scored across 5 tools
Each tool has a clearly distinct purpose with no overlap: balance checking, catalog listing, cost estimation, job execution, and status monitoring. The descriptions make it unambiguous which tool to use for each task, preventing misselection.
All tools follow a consistent 'gpu_' prefix with descriptive suffixes (balance, catalog, estimate, run, status). This verb_noun pattern is uniform throughout, making the tool set predictable and easy to navigate.
With 5 tools, this server is well-scoped for its GPU service management purpose. Each tool earns its place by covering essential operations: account management, service discovery, cost estimation, job execution, and status tracking, without being overly sparse or bloated.
The tool set provides complete coverage for the GPU service lifecycle: discover services (catalog), estimate costs, run jobs, monitor status, and manage account (balance). No obvious gaps exist; agents can perform end-to-end workflows without dead ends.
Machine-payable API infrastructure for autonomous agents. Per-call x402 settlement in USDC.
Pay-per-use LLM inference for agents: pay in USDC/USDT or per call via x402. 247 chat models.
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GPT, Claude, Gemini, DeepSeek, Grok, Qwen and GLM through one API key. Pay per token.