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Hardware probe for performance diagnostics, thermal monitoring, and LLM optimization.
About
Hardware probe for performance diagnostics, thermal monitoring, and LLM optimization.
Security Report
Valid MCP server (3 strong, 4 medium validity signals). 7 known CVEs in dependencies (1 critical, 6 high severity) Package registry verified. Imported from the Official MCP Registry.
9 files analyzed · 8 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
Unverified package source
We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.
What You'll Need
Set these up before or after installing:
Environment variable: REMOTE_API_URL
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-yamaru-eu-hardware-probe": {
"env": {
"REMOTE_API_URL": "your-remote-api-url-here"
},
"args": [
"-y",
"@yamaru-eu/hardware-probe"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Yamaru Hardware Probe (MCP)
Expert system hardware probe and performance diagnostic engine for AI, Gaming, and High-Performance workflows. This is a Model Context Protocol (MCP) server that provides deep system insights beyond simple specifications.
Key Features
- 🔍 Deep Hardware Inventory: Comprehensive analysis of CPU, RAM, GPU (VRAM/Bandwidth), Storage, and OS topology.
- ⚡ Real-time Performance Monitoring: Live tracking of system load and identification of resource-hogging processes.
- 🧊 Thermal & Power Diagnostics: Detects thermal throttling and frequency clipping to resolve unexpected slowness.
- 🤖 AI/LLM Optimization: Specialized tools for predicting LLM performance, calculating quantization fit, and optimizing runtimes (Ollama, CUDA, Metal).
- 🛡️ Privacy-First: Automatic anonymization of unique hardware identifiers before any remote transmission.
Installation
For Gemini CLI Users
gemini extension install @yamaru-eu/hardware-probe
For Manual MCP Setup
Add this to your MCP settings file (e.g., npx-config.json or claude_desktop_config.json):
{
"mcpServers": {
"yamaru-probe": {
"command": "npx",
"args": ["-y", "@yamaru-eu/hardware-probe"]
}
}
}
Available Tools
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 deep 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 (CPU load, RAM usage, temperature) with min/max/avg over a configurable time window (up to 10 minutes).check_llm_compatibility(BETA): Predicts performance for a specific LLM model via remote API.get_llm_recommendations(BETA): Recommends the best local models via remote API.analyze_inference_config: Deep-dive into AI runtimes and environment variables.
Skills Integration
When used with Gemini CLI, this extension provides the following expert skills:
hardware-performance-expert: Global protocol for system health and troubleshooting.local-inference-optimizer: Specialized logic for fine-tuning local LLM runs.
Development
npm install # Install dependencies
npm run build # Compile TypeScript → dist/
npm run test # Run test suite
npm run inspector # Test tools in the MCP Inspector
License
Apache 2.0 - Part of the Yamaru Project.
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