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gpu-bridge/mcp-server

gpu-bridge/mcp-server

GPU inference API for LLMs,
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Config template (adjust for your client)
claude mcp add mcp-server -- npx -y mcp-server
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
2 ★ · gpu-bridge/mcp-server · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 2 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository gpu-bridge/mcp-server;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

GPU-Bridge MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

> **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
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.
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 |
|-----------|-------------|-------|
Source
awesome · https://github.com/gpu-bridge/mcp-server
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