Hardware Probe
by yamaru-eucommunityv1.1.2
5
1
An MCP server that inspects local hardware and system performance, including CPU, RAM, GPU, storage, thermal state, and running processes. It also provides LLM-focused compatibility and optimization checks for local inference setups.
From the registry: Hardware probe for performance diagnostics, thermal monitoring, and LLM optimization.
Install & configure
Install in your client
Paste into the AI you're chatting with — it will figure out the rest
Please install the `hardware-probe` MCP server into my current AI client (that's you).
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","@yamaru-eu/hardware-probe"]
Note: README provides a manual MCP setup using npx. No environment variables or additional one-time prerequisites are specified. Gemini CLI extension install is available, but the canonical portable MCP configuration is the npx command.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Note: README provides a manual MCP setup using npx. No environment variables or additional one-time prerequisites are specified. Gemini CLI extension install is available, but the canonical portable MCP configuration is the npx command.
Tools (10)
analyze_local_system
Full hardware inventory.
analyze_performance
Real-time performance metrics and top processes.
analyze_ram_pressure
Detailed memory pressure and RSS analysis for RAM troubleshooting.
check_storage_health
Disk SMART health, firmware, and I/O bottleneck analysis.
thermal_profile
Real-time CPU/GPU thermal states, fan speeds, and frequency throttling detection.
diagnose_antivirus_impact
Detects EDR/Antivirus conflicts and exclusion coverage on dev paths.
monitor_system_health
Statistical health report over a specified duration.
check_llm_compatibility
Predicts performance for a specific LLM model via remote API.
get_llm_recommendations
Recommends the best local models via remote API.
analyze_inference_config
Deep-dive into AI runtimes and environment variables.
Packages
@yamaru-eu/hardware-probe
npmv1.1.2transport: stdio
Details
- Language
- TypeScript
- License
- Apache-2.0
- Released
- Apr 19, 2026
- Last commit
- Jun 4, 2026
- Registry name
- io.github.yamaru-eu/hardware-probe
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