# Browser Tools

> Use this tool when you need to debug and analyze web applications, identify performance bottlenecks, and optimize browser-based experiences. It provides comprehensive browser debugging and analysis capabilities through real-time event capture and Lighthouse-powered audits, generating structured reports with actionable recommendations. Ideal for AI systems, it supports both live browser sessions and automated headless analysis, enabling data-driven optimization of web applications.

Canonical page: https://skillsregistry.net/skills/agentdesk-browser-tools  
JSON: https://api.skillsregistry.net/v1/skills/agentdesk-browser-tools

## Description

This browser tools MCP server by AgentDesk AI provides AI assistants with comprehensive browser debugging and analysis capabilities through a Chrome extension and headless browser automation. The implementation combines real-time browser event capture (console logs, network requests, screenshots, DOM element selection) with Lighthouse-powered accessibility, performance, SEO, and best practices audits optimized for AI consumption. Built with TypeScript and featuring cross-platform browser support, smart resource blocking, and structured audit reports with impact-based prioritization, it enables AI systems to debug web applications, analyze page performance, and provide actionable optimization recommendations through both live browser sessions and automated headless analysis.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/agentdesk-browser-tools)
- **Repository:** <https://github.com/driverseliteanlk/browser-tools-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": "agentdesk-browser-tools"
    }
  }
}
```

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