Gpu MCP Server

47 AI models as MCP tools: LLM, image, video, audio, embeddings & more. x402 or API key.

Local serverstdioPython

What is the Gpu MCP Server?

47 AI models as MCP tools: LLM, image, video, audio, embeddings & more. x402 or API key.

The short version

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.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
gpu_runRun any GPU-Bridge service. The primary tool for executing AI tasks.
gpu_catalogGet the full catalog of available services with pricing and capabilities.
gpu_estimateEstimate cost before running a service. No authentication required.
gpu_status
gpu_balanceCheck your current balance, daily spend, and volume discount tier.

How to install the Gpu MCP Server

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

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
GPUBRIDGE_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • “Use Gpu to gpu run.”
  • “Use Gpu to gpu catalog.”
  • “Use Gpu to gpu estimate.”

Frequently asked questions

47 AI models as MCP tools: LLM, image, video, audio, embeddings & more. x402 or API key. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.