# Browser

> Use this tool when you need to test and analyze frontend applications in a real browser environment, capturing screenshots, extracting DOM structures, and verifying responsive designs. It solves problems such as identifying visual rendering issues and frontend problems, providing a headless browser interface for AI agents. The tool accepts inputs such as URLs and viewport settings, and outputs screenshots, DOM structures, and analysis results, making it ideal for AI coding agents that require efficient and secure browser testing.

Canonical page: https://skillsregistry.net/skills/neoforge-dev-browser  
JSON: https://api.skillsregistry.net/v1/skills/neoforge-dev-browser

## Description

MCP Browser provides a headless browser interface for AI agents to test and analyze frontend applications in real browser environments. Built with Playwright and FastAPI, it enables AI to capture screenshots, extract DOM structures, analyze CSS properties, test accessibility, and verify responsive designs across different viewports. The implementation features a WebSocket event subscription system for real-time browser events, Docker containerization with security controls (AppArmor profiles, non-root execution), and one-command deployment for Mac Mini setups. Particularly valuable for AI coding agents that need to identify visual rendering issues and frontend problems without excessive resource usage.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/neoforge-dev-browser)
- **Repository:** <https://github.com/neoforge-dev/mcp-browser>

## 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": "neoforge-dev-browser"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neoforge-dev-browser` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neoforge-dev-browser/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