# smart-dom

> Use this tool when you need to automate browser interactions with token efficiency, as it filters the DOM to extract only interactive elements and groups them by page section, reducing token usage. This capability solves problems of excessive token consumption in automation tasks, such as data scraping or UI testing. It is ideal for use cases where token optimization is crucial, providing a streamlined interface for AI agents to interact with web pages.

Canonical page: https://skillsregistry.net/skills/frontrunner0x-smart-dom-mcp  
JSON: https://api.skillsregistry.net/v1/skills/frontrunner0x-smart-dom-mcp

## Description

Token-efficient browser automation for AI agents, filtering the DOM to only interactive elements and grouping them by page section, reducing token usage by 3-13x compared to Playwright MCP.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c5nhn33zn4)
- **Repository:** <https://github.com/Frontrunner0x/smart-dom-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": "frontrunner0x-smart-dom-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/frontrunner0x-smart-dom-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/frontrunner0x-smart-dom-mcp/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