# ScreenMonitorMCP

> Use this tool when you need to analyze user interactions and predict behavior in real-time, enabling AI assistants to provide personalized support and automation. It solves problems such as improving user experience, enhancing AI assistant accuracy, and streamlining workflows by providing inputs like screen data and UI element analysis, and outputs like predictive user behavior insights. Ideal for use cases where AI-driven user interface optimization and automation are crucial.

Canonical page: https://skillsregistry.net/skills/ideook-screenmonitormcp  
JSON: https://api.skillsregistry.net/v1/skills/ideook-screenmonitormcp

## Description

Enables real-time screen monitoring, UI element analysis, and predictive user behavior learning for AI assistants.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wg2ljyijho)
- **Repository:** <https://github.com/ideook/ScreenMonitorMCP>

## 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": "ideook-screenmonitormcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ideook-screenmonitormcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ideook-screenmonitormcp/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