# DeviceLens MCP

> DeviceLens MCP — dark-hunt3r1-device-lens-mcp. Use this tool when you need to manage and inspect Windows devices without modifying them, and group Device Manager interfaces into physical devices for easier monitoring. DeviceLens MCP solves problems related to device management, auditing, and inspection, providing explanations and read-only access to device information. It takes in device data as input and outputs grouped device information, device explanations, and update audit logs, making it ideal for use cases requiring non-intrusive device monitoring and management.

Canonical page: https://skillsregistry.net/skills/dark-hunt3r1-device-lens-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dark-hunt3r1-device-lens-mcp

## Description

A local, detection-first Windows MCP server that groups Device Manager interfaces into physical devices, provides explanations, and enables read-only inspection and update auditing without modifying any devices or drivers.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y997p2kw73)
- **Repository:** <https://github.com/Dark-Hunt3r1/device-lens-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dark-hunt3r1-device-lens-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dark-hunt3r1-device-lens-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dark-hunt3r1-device-lens-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt