MCP Chrome Integration MCP Server

A protocol that enables AI models to control Chrome browser and perform web automation.

Local serverstdioPython

What is the MCP Chrome Integration MCP server?

MCP Chrome Integration MCP server exists for a simple reason — assistants are far more useful when they can act on MCP Chrome Integration directly instead of describing what you should do. A protocol that enables AI models to control Chrome browser and perform web automation.

Setting it up

Installation goes through your MCP client rather than a global install: point it at @smithery/cli on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.

What the assistant can call

Once MCP Chrome Integration is connected, these are the calls the assistant has available:

  • Prerequisites — The Prerequisites tool exposed by this server

Configuration and credentials

You will need one environment variable: WEBSOCKET_PORT. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

  • Python 3.12 - Google Chrome browser extension installed (websocket client) - uv (Python package installer) or Docker

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the mcp chrome integration mcp server does with a few real requests.

Choosing this one

Among the browser automation options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. MCP Chrome Integration's toolset — Prerequisites — is a fair guide to whether it matches your workflow. It is maintained by dlwjdtn535; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Available tools

ToolWhat it does
PrerequisitesThe Prerequisites tool exposed by this server.

How to install the MCP Chrome Integration MCP server

**macOS Setup:**
```json
{
  "mcpServers": {
    "mcp-chrome-integration": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/usr/local/bin/mcp-chrome-integration/src",
        "mcp-server"
      ],
      "env": {
        "WEBSOCKET_PORT": "8012"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Python 3.12 - Google Chrome browser extension installed (websocket client) - uv (Python package installer) or Docker
VariableDescriptionRequired
WEBSOCKET_PORTConfiguration value read at startup.Optional

Example prompts to try

  • Use MCP Chrome Integration to Prerequisites.

Frequently asked questions

It connects MCP Chrome Integration to MCP-compatible AI assistants such as Claude and Cursor, exposing 1 tool (Prerequisites) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP Chrome Integration directly.