# screentime-mcp-server

> Use this tool when you need to retrieve and analyze macOS Screen Time data, such as app usage and hourly breakdowns, to gain insights into user behavior. It solves problems related to monitoring and understanding screen time usage, providing valuable information for parents, administrators, and researchers. The tool accepts custom SQL queries as input and outputs detailed usage data through the MCP interface.

Canonical page: https://skillsregistry.net/skills/tomoyanakano-screentime-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/tomoyanakano-screentime-mcp-server

## Description

Enables querying macOS Screen Time data to retrieve app usage, hourly breakdown, and custom SQL queries through MCP.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ekjkmffow0)
- **Repository:** <https://github.com/tomoyanakano/screentime-mcp-server>

## 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": "tomoyanakano-screentime-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tomoyanakano-screentime-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tomoyanakano-screentime-mcp-server/pull`

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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