# familiar-mcp

> Use this tool when you need to automate interactions with a Chrome browser on macOS, such as controlling tabs and windows, navigating to websites, extracting DOM data, or executing JavaScript code. It provides 32 tools for various tasks, including form interaction and arbitrary JS execution, and uses AppleScript and Apple Events to drive the browser. Ideal for automating web-based workflows or testing web applications on macOS.

Canonical page: https://skillsregistry.net/skills/dominion525-familiar  
JSON: https://api.skillsregistry.net/v1/skills/dominion525-familiar

## Description

MCP server that drives the user's real signed-in Chrome on macOS via AppleScript (Apple Events). 32 tools covering tab/window control, navigation, DOM extraction, form interaction, and arbitrary JS execution. Same engine as the familiar Claude Code skill in the repository.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tkqt9irfq3)
- **Repository:** <https://github.com/dominion525/familiar>

## 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": "dominion525-familiar"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dominion525-familiar` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dominion525-familiar/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