system-mcp
Provides GPU metrics such as utilization, memory usage, and temperature via nvidia-smi when available.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@system-mcpshow me the system overview"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
system-mcp
A local MCP server (Python + uv) that exposes system telemetry tools:
CPU usage and core/frequency metrics
RAM and swap usage
Disk usage and IO
Battery status
Network counters
Running task/process stats
GPU metrics (via
nvidia-smiwhen available)
1) Install
uv syncRelated MCP server: System Info MCP Server
2) Run server (stdio transport)
uv run system-mcp3) MCP client configuration example
Use this command in your MCP client config:
Command:
uvArgs:
run,system-mcpWorking directory: this project root
Example JSON snippet:
{
"mcpServers": {
"system-mcp": {
"command": "uv",
"args": ["run", "system-mcp"],
"cwd": "k:/Tech/Projects/system_mcp"
}
}
}Exposed tools
system_overviewcpu_metrics(sample_seconds=1.0)memory_metricsdisk_metrics(path="C:\\")battery_metricsnetwork_metricsrunning_tasks(limit=10, sort_by="cpu")gpu_metrics
Notes
gpu_metricsdepends onnvidia-smibeing available inPATH.On systems without battery/GPU, tools return availability flags and messages instead of failing.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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