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Provides AI agents with cross-platform hardware inventory and live sensor telemetry.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "hwprobe-mcp" yet — see the docs or source repo.
Summarize the current machine's hardware inventory, including CPU, memory, disks, GPU, and available sensor data, organized by category.
A structured hardware overview listing major components and available sensor readings.
Read the device's live sensor telemetry, focusing on CPU, GPU, memory, and disk-related status, and highlight unusually high metrics.
Current sensor readings with components flagged for unusually high temperature or load.
List the scope of hardware information accessible in this environment, including what CPU, memory, disk, GPU, and sensor data can be read.
A description of the hardware and telemetry data available in the current environment.
Developers or DevOps engineers can read CPU, GPU, memory, disk, and sensor data when a system becomes slow, hot, or overloaded to quickly assess hardware status.
When an AI agent needs machine-specific context for analysis or decisions, this MCP tool can supply hardware inventory and live telemetry.
Researchers or technical staff can use it to inspect CPU, memory, disk, GPU, and other device configuration details to verify host resources and hardware visibility.
It is an MCP server that provides AI agents with deep hardware inventory and live sensor telemetry. It covers CPU, memory, disk, GPU, and sensor data across platforms.
Based on the description, it can provide CPU, memory, disk, GPU, and sensor-related data. For exact fields and formats, see the source repository.
The provided material does not include installation steps, dependencies, or key requirements. For runtime setup and integration details, see the source repository.
Diagnose Linux systems and control desktop hardware with compact, safe JSON output.
Lets AI check live system metrics and monitor performance thresholds.
Monitor equipment health and query status, maintenance, and anomalies via MCP.
Audit MCP servers for conformance, tool usability, and error handling quality.
Audit MCP servers for conformance and generate scores with Markdown reports.
Inspect and score MCP servers for publishability, schema, and protocol readiness.