feat: add GPU-Bridge MCP server (@gpu-bridge/mcp-server)

[fjnunezp75]

Add GPU-Bridge MCP Server

Package: @gpu-bridge/mcp-server v2.1.0
npm: https://www.npmjs.com/package/@gpu-bridge/mcp-server
GitHub: https://github.com/gpu-bridge/mcp-server
Website: https://gpubridge.io

What is GPU-Bridge?

GPU-Bridge is a unified GPU inference API that provides 30 AI services through a single MCP tool: LLM inference, image generation, video processing, speech-to-text, TTS, embeddings, reranking, PDF parsing, NSFW detection, and more.

Why it belongs in the MCP Registry

• 30 AI services, one tool — developers configure once, access any AI capability
• x402-native — autonomous agents can pay for GPU compute with USDC on Base without a pre-funded API key
• Production-ready — live API at api.gpubridge.io with Stripe and x402 payment support
• Works with Claude Desktop, Cursor, Zed — standard MCP stdio transport via npx

Installation

{
  "mcpServers": {
    "gpu-bridge": {
      "command": "npx",
      "args": ["-y", "@gpu-bridge/mcp-server"],
      "env": { "GPUBRIDGE_API_KEY": "your-api-key" }
    }
  }
}

Checklist

• Package published on npm: @gpu-bridge/mcp-server@2.1.0
• Open source MIT license
• Working production API
• Standard MCP stdio transport
• smithery.yaml included in repo

[rdimitrov]

Hey, @fjnunezp75 , thanks for reaching out, but this is not the correct way to publish an MCP server to the MCP Registry.

Please use the publisher CLI or the Registry API itself.

You can check the https://modelcontextprotocol.io/registry/quickstart for more information and guidance 👍

Thanks!