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Gpu Bridge

gpu-bridge/mcp-server

Connects Claude to 30 GPU-powered AI services through a unified inference API. You get LLM calls, FLUX and Stable Diffusion image generation, Whisper transcription, text-to-speech, embeddings, reranking, and video generation all through a single `gpu_run` tool. Supports both traditional API key auth and x402 protocol for autonomous agent payments with USDC on Base L2. Pricing starts at fractions of a cent per request with volume discounts. Useful when you need Claude to generate images mid-conversation, transcribe audio files, or chain together multiple AI capabilities without switching between providers. Install via npx with your GPU-Bridge API key in the config.

tools
5
auth
Secret needed
transport
STDIO
env var
1
last updated
Mar 16, 2026

Tools

5 tools

Public tool metadata for what this MCP can expose to an agent.

gpu_runRun 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 (J...3 params

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 (J...

Parameters* required
inputobject
Service-specific input. Examples: LLM {"prompt":"...","max_tokens":512}, Image {"prompt":"..."}, Whisper {"audio_url":"https://..."}
prioritystring
Routing priority. "fast" = lowest latency (default), "cheap" = lowest cost.one of fast · cheap
servicestring
Service key. Common ones: llm-4090 (text), image-4090 (image), whisper-l4 (speech-to-text), tts-l4 (text-to-speech), embedding-l4 (embeddings), rerank (document reranking), pdf-parse (document pars...
gpu_catalogList all available GPU-Bridge services with pricing and model info.

List all available GPU-Bridge services with pricing and model info.

No parameter schema in public metadata yet.

gpu_statusCheck the status of a GPU-Bridge job and retrieve results.1 params

Check the status of a GPU-Bridge job and retrieve results.

Parameters* required
job_idstring
The job ID returned by gpu_run
gpu_balanceCheck GPU-Bridge credit balance, daily spend, and volume discount tier.

Check GPU-Bridge credit balance, daily spend, and volume discount tier.

No parameter schema in public metadata yet.

gpu_estimateEstimate the cost of a GPU-Bridge service before running it.2 params

Estimate the cost of a GPU-Bridge service before running it.

Parameters* required
secondsnumber
Estimated runtime in seconds (optional)
servicestring
Service key (e.g. llm-4090, image-4090)

Sponsors

Configuration

GPUBRIDGE_API_KEYsecret

GPU-Bridge API key (get one at https://gpubridge.io). Starts with gpub_. Optional if using x402 micropayments.

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.

npm version License: MIT MCP Compatible

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)


View the full README on GitHub

Details

Repository
github.com/gpu-bridge/mcp-server
Categories
AI & LLM Tools, Media & Entertainment
Package
@gpu-bridge/mcp-server
Transport
STDIO
Auth
Required
Registry
MCP registry, active

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