Chrome MCP Server

Chrome MCP Server is a Chrome extension-based Model Context Protocol (MCP) server that exposes your Chrome browser functionality to AI assistants like Claude, enabling complex browser automation, content analysis, and semantic search. It leverages your existing Chrome environment, including login states and configurations, to allow large language models and chatbots to control the browser natively without needing to launch a separate automation process. The project emphasizes privacy by remaining fully local and offers capabilities such as cross-tab context, streamable HTTP communication, and a built-in vector database for semantic search and content analysis. As an early-stage project, it includes a growing set of tools for browser control, inspection, and automation, with ongoing development to broaden compatibility and features.

Chrome MCP Server enables AI assistants to operate your existing Chrome browser as a programmable agent. This allows you to automate tasks, analyze page content, capture screenshots, monitor network activity, and perform semantic searches across open tabs. The server runs locally as a Chrome extension-based MCP endpoint, so you can keep your data in-device while exposing a standard MCP API to clients.

Usage patterns from the docs include configuring MCP clients to connect via streamable HTTP or stdio, as shown in the examples:

{
  "mcpServers": {
    "chrome-mcp-server": {
      "type": "streamableHttp",
      "url": "http://127.0.0.1:12306/mcp"
    }
  }
}

{
  "mcpServers": {
    "chrome-mcp-stdio": {
      "command": "npx",
      "args": [\
        "node",\
        "/Users/xxx/Library/pnpm/global/5/node_modules/mcp-chrome-bridge/dist/mcp/mcp-server-stdio.js"\
      ]
    }
  }
}

These examples illustrate how to register and run the MCP bridge, then connect your MCP clients to the local Chrome instance. The documentation also describes prerequisites (Node.js, Chrome/Chromium) and a step-by-step installation flow to get started.