🤖 MCP Selenium Grid
About
(DO NOT USE, NOT READY) A Model Context Protocol (MCP) server that enables AI Agents to request and manage Selenium browser instances through a secure API. Perfect for your automated browser testing needs! 🚀
Explore
- Enables AI Agents to manage Selenium browser instances.
- Provides a secure API for browser automation.
- Integrates with Docker and Kubernetes (K3s).
- Uses uv for dependency management and installation.
- Includes unit, integration, and e2e test support.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
🤖 MCP Selenium GridCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
1. Prerequisites
Make sure you have the following installed:
- uv (Python package/dependency manager)
- Docker
- K3s (for Kubernetes deployment)
- kubectl
2. Setup - (using .python-version)
```bash
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"\ud83e\udd16 mcp selenium grid": {
"mcp-selenium-grid": {
"command": "uv",
"args": [
"venv"
]
}
}
}
}McpServers
{
"mcp-selenium-grid": {
"command": "uv",
"args": [
"venv"
]
}
}A Model Context Protocol (MCP) server that enables AI Agents to request and manage Selenium browser instances through a secure API. Perfect for your automated browser testing needs! 🚀
🚀 Quick Start
1. Prerequisites
Make sure you have the following installed:
- uv (Python package/dependency manager)
- Docker
- K3s (for Kubernetes deployment)
- kubectl
2. Setup - (using .python-version)
```bash
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