# YetiBrowser

> Use this tool when you need to automate web interactions, extract content, or test web applications in a real-user browser environment. YetiBrowser provides AI assistants with direct browser control, enabling tools like DOM snapshots, form interactions, and screenshot capture through a companion Chrome/Firefox extension and WebSocket bridge. It operates locally, with no external data transmission, making it ideal for workflows requiring secure and accurate web automation.

Canonical page: https://skillsregistry.net/skills/yetidevworks-yetibrowser  
JSON: https://api.skillsregistry.net/v1/skills/yetidevworks-yetibrowser

## Description

YetiBrowser MCP provides AI assistants with direct browser control through a companion Chrome/Firefox extension and WebSocket bridge, enabling real-time web automation without requiring separate browser instances. Built by YetiDevWorks using TypeScript and the Model Context Protocol SDK, it offers 13 tools including DOM snapshots with accessibility data, form interactions, navigation controls, screenshot capture, and console log access, all operating on the user's actual browser tab rather than a headless environment. The implementation features automatic port discovery to avoid conflicts with multiple MCP instances, supports both Chrome and Firefox through shared extension code, and maintains local-only operation with no external data transmission, making it valuable for web testing workflows, form automation, content extraction, and building AI assistants that need to interact with live web applications in the user's existing browser session.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/yetidevworks-yetibrowser)
- **Repository:** <https://github.com/yetidevworks/yetibrowser-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": "yetidevworks-yetibrowser"
    }
  }
}
```

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