# Browser MCP

> Use this tool when you need to integrate AI assistants with browser functionality, enabling tasks like webpage summarization, customization, and history retrieval. It solves problems such as extracting relevant content, modifying page appearance, and accessing browsing history data. The Browser MCP extension and server implementation provide a WebSocket-based interface for real-time communication, accepting inputs like page URLs and CSS styles, and outputting markdown content and search results.

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

## Description

Browser MCP is a browser extension and server implementation that allows AI assistants to interact with the browser environment. It provides tools for retrieving page content as markdown, appending CSS styles to pages, searching browser history, and more. The implementation uses a WebSocket connection between the extension and server to enable real-time communication, with the server exposing these capabilities through the Model Context Protocol. This enables AI assistants to perform tasks like summarizing web pages, modifying page appearance, or retrieving browsing history data directly from the user's browser.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

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

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