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MCP Browser Server

@Wladastic

Repository

Basic information

Category

Browser Automation

License

NOASSERTION

Transports

stdio

Author

Wladastic

About MCP Browser Server

Allow your Github Copilot Chat to navigate your frontend projects. Also compatible with Chat.fans Agents

MCP Browser Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-browser-server": {
      "command": "npx",
      "args": [
        "playwright",
        "install"
      ]
    }
  }
}

MCP Browser Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is MCP Browser Server?

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. It enables AI assistants to interact with web pages through a standardized interface, supporting multi-browser automation (Chromium, Firefox, WebKit) with tools for navigation, clicking, typing, screenshotting, and JavaScript execution. It is designed for AI-powered web testing, scraping, and debugging workflows.

How to use MCP Browser Server?

Install dependencies via npm install, build with npm run build, and ensure Playwright browsers are installed using npx playwright install. For VS Code integration, configure the server in settings.json as an MCP server with the command node pointing to the built index.js. Once configured, any MCP-compatible AI assistant (such as Chat.fans agents or GitHub Copilot Chat) can invoke the provided tools.

Key features of MCP Browser Server

  • Multi-browser support: Chromium, Firefox, and WebKit
  • Comprehensive automation: navigate, click, type, screenshot, and more
  • JavaScript execution in the browser context
  • Element interaction: wait for elements, get text, interact with forms
  • Scroll tool with direction, pixel, and behavior control
  • Scrollability check tool
  • AI-powered screenshot analysis using Gemma3 via Ollama (optional)
  • Type-safe implementation with TypeScript and Zod

Use cases of MCP Browser Server

  • Automate web application testing with AI assistants
  • Perform web scraping and data extraction
  • Debug web pages by capturing screenshots and console logs
  • Run custom JavaScript on live pages for verification
  • Analyze page structure and content with vision-capable AI models

Frequently asked questions

1

What are the system requirements?

Node.js, Playwright browsers installed (via `npx playwright install`), and on Linux additional system dependencies (via `sudo npx playwright install-deps`). The AI screenshot analysis feature requires Ollama with a Gemma3 model (e.g., `gemma3:4b`).

2

How do I integrate MCP Browser Server with VS Code?

Add an MCP server entry to your VS Code `settings.json` using the command `node` and the path to the built `build/index.js`. After configuration, Chat.fans agents and GitHub Copilot Chat can use the browser tools.

3

Which browsers are supported?

Chromium, Firefox, and WebKit are all supported.

4

Do I need Ollama to use the server?

No. All standard browser automation tools work without Ollama. The `analyze_screenshot` tool is optional and only available if Ollama is installed with a vision-capable model.

5

Where are screenshots and console logs saved?

Screenshots can be saved to a custom path specified in the tool call. By default, generated screenshots from tests are stored in a `screenshots/` directory. Console logs are returned directly to the caller.

Comments

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