# Gpu Bridge

30 GPU\-powered AI services as MCP tools\. LLM, image, video, audio, embeddings & more\.

Canonical: https://claudelist.com/listings/mcp-reg-io-github-fjnunezp75-gpu-bridge-7a0a51d5f4

Category: MCP Servers

Source: community · gpu\-bridge

Source checked: 2026-10-14

Website: https://www.claudemcp.org/mcp/registry/io-github-fjnunezp75-gpu-bridge-7a0a51d5f4bd.html

Publisher description: 30 GPU-powered AI services as MCP tools. LLM, image, video, audio, embeddings & more.

## Install or set up

1. Review the publisher repository and npm package `@gpu-bridge/mcp-server@2.4.3` before running it. The MCP Registry declares this package as a stdio server.
2. Install Node.js, then run the command below in your Claude Code project. Check the publisher README for any account or configuration requirements.
3. Restart Claude Code and use `/mcp` to confirm the connection and review its tools and permissions.

```sh
claude mcp add mcp-io-github-fjnunezp75-gpu-bridge-7a0a51 -- npx -y @gpu-bridge/mcp-server@2.4.3
```

Installation guide: https://github.com/gpu-bridge/mcp-server