hwprobe-mcp
hwprobe-mcp is an MCP server that gives AI agents deep hardware inventory and live sensor telemetry about the host machine through clean, JSON-returning tools.
Tools & Capabilities:
hardware_inventory— Static deep hardware details: CPU model/cores/architecture/cache, total RAM and DIMM layout, disk models/serials/sizes, GPUs, motherboard/BIOS, and OS/platform info.live_sensors— Real-time snapshot of CPU/component temperatures, fan RPM, battery status, voltages, and power consumption (via lm-sensors on Linux, plus NVIDIA GPU telemetry).cpu_status— CPU identity with live per-core utilization percentages, per-core frequencies, system load averages, and core temperatures.gpu_status— NVIDIA GPU inventory and live telemetry: name, driver version, temperature, utilization, power draw, clock speeds, and memory usage.disk_health— Per-disk SMART data: model, serial, firmware, capacity, temperature, SMART pass/fail status, power-on hours, and power cycle counts.system_snapshot— A single call that combines all of the above into one comprehensive report.check_dependencies— Reports which optional backend tools (e.g.,nvidia-smi,smartctl,lm-sensors) are installed or missing, what capabilities they unlock, and provides exact install commands.
Additional Highlights:
Works across Linux, macOS, and Windows with graceful degradation — missing tools or insufficient privileges produce
warnings[]entries rather than crashes.Returns a consistent JSON envelope with
ok,platform,sources,warnings, anddatafields.
Provides GPU inventory and live telemetry (temperature, utilization, power, clocks, memory) via nvidia-smi.
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., "@hwprobe-mcpcheck disk SMART health and current GPU power draw"
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.
hwprobe-mcp
A hardware probe for AI agents, over MCP.
hwprobe-mcp is a Model Context Protocol server that gives an
AI agent (any MCP client) both deep hardware inventory and
live sensor telemetry through a small set of clean, JSON-returning tools.
Most "system monitor" MCP servers are thin psutil wrappers that only report utilization. hwprobe-mcp
deliberately fuses three layers so an agent gets the whole picture in one place:
Layer | Backends |
Cross-platform core |
|
Rich Linux sensors |
|
Deep inventory |
|
Devices |
|
Everything degrades gracefully: a missing tool, an absent GPU, or a lack of root privileges becomes a
warnings[] entry, never a crash.
Tools
MCP tool | What it returns |
| Static deep inventory — CPU model/cores/arch/cache, RAM + DIMM layout, disks (model/serial/size), GPUs, motherboard/BIOS, OS/platform. |
| Live snapshot — CPU/component temperatures, fan RPM, battery, plus voltages/power (via lm-sensors) and NVIDIA GPU temp/power/util. |
| CPU identity + live per-core utilization %, per-core frequency, load average, core temperatures. |
| GPU inventory + live telemetry (NVIDIA via |
| Per-disk SMART: model, serial, firmware, capacity, temperature, SMART pass/fail, power-on hours, power cycles. |
| Everything above in a single call — the "tell me everything about this machine" tool. |
| Which optional backends are installed vs missing, what each unlocks, and the exact command to install any missing one (auto-detects the package manager). |
Every tool returns a consistent envelope:
{
"ok": true,
"platform": "Linux",
"sources": ["psutil", "lm-sensors"],
"warnings": ["nvidia-smi: NVIDIA driver not loaded"],
"data": { "...": "..." }
}Related MCP server: Laptop Hardware MCP Server
Install
Requires Python 3.10+.
# from source (until published to PyPI)
git clone git@github.com:notreallycheeks/hwprobe-mcp.git
cd hwprobe-mcp
pip install -e .For the fullest data on Linux, install the native helpers (all optional):
sudo apt install lm-sensors smartmontools pciutils util-linux dmidecode
sudo sensors-detect --auto # one-time, sets up lm-sensorsNVIDIA GPU telemetry uses the
nvidia-smibinary shipped with the NVIDIA driver — there is no pip extra to install.
Checking what's installed
hwprobe works with whatever is present and degrades gracefully — but it will also tell you what's missing and how to install it. Run the built-in doctor:
hwprobe-mcp --doctor...or have your agent call the check_dependencies tool. Each missing backend comes with the
exact install command for your platform's package manager, and the JSON-returning tools embed the
same hint in their warnings.
Two backends need elevated privileges to return data — smartctl (disk SMART) and
dmidecode (motherboard/BIOS/DIMM). Run the server as root, or grant scoped passwordless
sudo just for smartctl so disk_health works from the unprivileged server:
echo "$USER ALL=(root) NOPASSWD: $(command -v smartctl)" | sudo tee /etc/sudoers.d/hwprobe-smartctl
sudo chmod 0440 /etc/sudoers.d/hwprobe-smartctlhwprobe automatically uses sudo -n smartctl when it isn't root, so no code changes are needed.
Use with an MCP client
Add it to your MCP client's server config:
{
"mcpServers": {
"hwprobe": {
"command": "hwprobe-mcp"
}
}
}Then ask your agent things like "what's this machine's CPU and how hot is it right now?" or "check disk SMART health and current GPU power draw."
Try it without an MCP client
--selftest runs every collector and dumps the JSON an agent would see — handy for verifying your
box and for CI:
# from the repo root, before install:
PYTHONPATH=src python -m hwprobe_mcp --selftest | jq .
# or, once installed (pip install -e .):
hwprobe-mcp --selftestPlatform support
Capability | Linux | macOS | Windows |
Inventory (CPU/mem/disk/GPU/OS) | ✅ full | ✅ (system_profiler) | ✅ (CIM/WMI) |
Component temps / fans | ✅ psutil + lm-sensors | ⚠️ limited | ⚠️ needs LibreHardwareMonitor |
Voltages / power | ✅ lm-sensors | ⚠️ | ⚠️ |
Battery | ✅ | ✅ | ✅ |
NVIDIA GPU telemetry | ✅ | — | ✅ |
Disk SMART | ✅ (root) | ✅ (root) | ✅ (admin) |
Note: deep motherboard/BIOS/DIMM inventory (
dmidecode) and full SMART data need root/admin. Without it,hwprobe-mcpreturns everything it can read and flags the rest inwarnings.
Roadmap
Windows deep sensors via a bundled LibreHardwareMonitor bridge
macOS
powermetricspower/thermal integration (opt-in, needs sudo)AMD/Intel GPU telemetry (
rocm-smi,intel_gpu_top)Optional streaming/
subscribetool for continuous sensor samplingPublish to PyPI +
uvx hwprobe-mcp
License
MIT © 2026 notreallycheeks
Maintenance
Resources
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