Gives agents real-time NVIDIA GPU metrics: utilization, memory, temperature, power and PCIe/NVLink throughput, with MIG support.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add gpu -- docker run -i --rm ghcr.io/pmady/gpu-mcp-server:v0.1.0~/.codex/config.toml
[mcp_servers.gpu]
command = "docker"
args = ["run", "-i", "--rm", "ghcr.io/pmady/gpu-mcp-server:v0.1.0"]
# codex mcp add gpu -- docker run -i --rm ghcr.io/pmady/gpu-mcp-server:v0.1.0~/.cursor/mcp.json
{
"mcpServers": {
"gpu": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/pmady/gpu-mcp-server:v0.1.0"
]
}
}
}.vscode/mcp.json
{
"servers": {
"gpu": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/pmady/gpu-mcp-server:v0.1.0"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"gpu": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/pmady/gpu-mcp-server:v0.1.0"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"gpu": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/pmady/gpu-mcp-server:v0.1.0"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"gpu": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/pmady/gpu-mcp-server:v0.1.0"
]
}
}
}