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mcp/harbor
Verified official

gpu bridge MCP

v2.4.3

io.github.fjnunezp75/gpu-bridge

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

transport:stdio runtime:npm
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Target client

run in your project directory

Held in this page only — never stored, logged, or sent anywhere but back to your screen. 

claude mcp add gpu-bridge -e GPUBRIDGE_API_KEY=<GPUBRIDGE_API_KEY> -- npx -y @gpu-bridge/mcp-server

Adds it for this project only. Append --scope user to make it available everywhere. Claude Code docs

This listing does not declare its tools. Connect the server and your client will discover them on the handshake.