# Browser MCP Server

> Use this tool when you need to automate browser interactions, manage multiple tabs, and interact with media in a controlled environment. The Browser MCP Server solves problems such as automating repetitive browser tasks, testing web applications, and scraping websites, by providing a programmatic interface to control Chrome using Playwright. It accepts input commands and outputs automated browser interactions, suitable for use cases requiring advanced browser automation and control.

Canonical page: https://skillsregistry.net/skills/madebytokens-browser-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/madebytokens-browser-mcp-server

## Description

A universal browser automation server featuring 63 tools for programmatic Chrome control, multi-tab management, and media interaction using Playwright. It enables advanced actions like session recording, performance profiling, and pixel-based interaction through a safe, isolated browser profile.

## Trust

- **Trust score (0–1):** 0.76
- **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:** [Glama](https://glama.ai/mcp/servers/dz0hnp1krs)
- **Repository:** <https://github.com/MadeByTokens/browser-mcp-server>

## 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": "madebytokens-browser-mcp-server"
    }
  }
}
```

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