selenium-mcp 1.2.0

Selenium WebDriver Model Context Protocol (MCP) server enabling AI agents and LLMs to control browsers

Selenium MCP Server

Model Context Protocol (MCP) server for Selenium WebDriver that enables AI agents and LLMs to control real browsers for automation

This project exposes Selenium WebDriver as an MCP (Model Context Protocol) server, allowing AI agents to control a real browser through structured tools.

It enables LLMs and autonomous agents to perform tasks like:

• Opening browsers
• Navigating websites
• Discovering UI elements
• Clicking buttons and links
• Typing into inputs
• Extracting page text
• Taking screenshots
• Many more future upgrades (in-progress)

This makes it possible to build AI-powered browser automation systems and autonomous QA agents.

WHY THIS PROJECT EXISTS

Modern AI agents need a way to interact with real applications.

While traditional automation tools like Selenium exist, they are not directly usable by LLM agents.

This project bridges that gap by exposing Selenium functionality through MCP tools so that agents can:

• Understand web pages
• Discover UI elements
• Perform actions
• Validate results

ARCHITECTURE

flowchart TD
    A[LLM Agent] --> B[MCP Protocol]
    B --> C[Selenium MCP Server]

    C --> D[Browser Tools]
    C --> E[Navigation Tools]
    C --> F[Interaction Tools]
    C --> G[Element Tools]
    C --> H[Debug Tools]

    D --> I[Selenium WebDriver]
    E --> I
    F --> I
    G --> I
    H --> I
    
    I --> J[Browser]

FEATURES

• MCP-compatible Selenium automation server
• Browser session management
• Navigation controls
• UI element discovery
• Accessibility-aware interaction
• Screenshot capture
• Page text extraction
• Headless browser support

INSTALLATION

Run the following command

pip install selenium-mcp

RUNNING THE SERVER

Start the MCP server

selenium-mcp run

This launches the Selenium MCP server and exposes browser automation tools to AI agents.

TESTING THE SERVER

Run the following command to verify that the MCP server is running correctly:

selenium-mcp check 

This script checks whether the Selenium MCP server is initialized successfully and whether the required tools are available.

If the server is set up correctly, you should see the following message in the terminal:

MCP Server sanity check passed

If the setup fails, the terminal will display an error message indicating that the sanity check did not pass.

BROWSER SESSION FLOW

Each browser session is identified by a session_id.

Typical workflow for agents:

1. open_browser
2. open_url
3. wait_for_page
4. get_interactive_elements
5. click_element or type_into_element

AVAILABLE MCP TOOLS

BROWSER CONTROL

1. open_browser – Launch a new browser session
2. close_browser – Close the browser session
3. maximize_browser – Maximize browser window
4. fullscreen_browser – Switch browser to fullscreen

NAVIGATION

1. open_url – Navigate to a specific URL
2. navigate_back – Navigate back in browser history
3. navigate_forward – Navigate forward in history
4. refresh_page – Reload the page
5. wait_for_page – Wait for page to load
6. get_page_title – Get the current page title

ELEMENT DISCOVERY

1. get_interactive_elements – Discover visible interactive elements on the page
2. get_accessibility_tree – Retrieve simplified accessibility tree for the page

These tools allow agents to understand the UI structure before interacting with it.

INTERACTION TOOLS

1. click_element – Click an element by index
2. type_into_element – Enter text into an input field

Elements must first be discovered using: get_interactive_elements

PAGE ANALYSIS

get_page_text – Extract visible text from the page

Useful for:

• validation
• reasoning
• information extraction

VISUAL DEBUGGING

take_screenshot – Capture a screenshot of the current browser window

Screenshot Storage Location

When screenshots are captured, they are automatically saved in a hidden folder inside your home directory.

macOS / Linux

Screenshots are stored at:

~/.selenium-mcp/screenshot

Example full path:

/Users/<your-username>/.selenium-mcp/screenshot

You can open the folder using Terminal:

open ~/.selenium-mcp/screenshot

Windows

Screenshots are stored at:

C:\Users\<your-username>\.selenium-mcp\screenshot

Example:

C:\Users\John\.selenium-mcp\screenshot

You can open it from File Explorer by entering the following in the address bar:

%USERPROFILE%\.selenium-mcp\screenshot

Custom Screenshot Directory (Optional)

You can override the default screenshot location using the environment variable: SELENIUM_MCP_SCREENSHOT_DIR

macOS / Linux

export SELENIUM_MCP_SCREENSHOT_DIR=~/my-screenshots

Windows (PowerShell)

$env:SELENIUM_MCP_SCREENSHOT_DIR="C:\my-screenshots"

All screenshots will then be saved to the specified directory.

Notes

• The folder is created automatically the first time a screenshot is taken.
• The .selenium-mcp directory is hidden by default because it starts with a dot (.).
• You can safely delete screenshots anytime.

EXAMPLE AGENT WORKFLOW

Example task:

Search Google for "Selenium MCP"

Agent steps:

open_browser

open_url("https://google.com")

wait_for_page

get_interactive_elements

type_into_element(index, "Selenium MCP")

click_element(index)

wait_for_page

get_page_text

SYSTEM PROMPT FOR AI AGENTS

This repository includes a production-grade system prompt designed specifically for browser automation agents that interact with this Selenium MCP server.

The prompt contains detailed operational guidelines that instruct the AI agent on how to:

• initialize and control the browser
• discover and interact with UI elements
• analyze page structure using the accessibility tree
• avoid hallucinating element indexes
• handle navigation and page reloads
• recover from stale elements
• follow a deterministic execution loop (PLAN → ACT → OBSERVE → UPDATE PLAN)
• enforce safety limits on tool usage

Prompt location

prompts/system_prompt.md

How to use

Whenever you build an AI agent that interacts with this MCP server, this prompt should be provided as the system prompt for the model.

Why this prompt

Browser automation agents can easily make incorrect decisions if not guided properly. This system prompt provides strict operational rules and guardrails that help the agent:

• use MCP tools correctly
• avoid incorrect element interactions
• minimize hallucinations
• perform reliable browser automation tasks

Using this prompt significantly improves the stability, accuracy, and reliability of AI-driven browser automation.

Recommendation

It is strongly recommended that all AI agents interacting with this Selenium MCP server use this system prompt to ensure consistent and reliable behavior.

PROMPT CUSTOMIZATION

You may modify or extend the system prompt depending on your use case. However, it is recommended to preserve the core operational rules related to:

• MCP tool usage
• element discovery
• navigation handling
• safety limits

LOGGING

All application logs are stored in a user-specific directory:

~/.selenium-mcp/logs/

This directory is automatically created when the server starts.

Log file

Logs are written to:

~/.selenium-mcp/logs/selenium_mcp.log

Features:

• Daily log file rotation
• Automatic cleanup of older log files
• Logs written to both console and file
• Persistent logs independent of the project directory

Logs are stored in the user's home directory so they remain available even if the package is installed globally via pip. This makes it easier to debug issues and monitor MCP server activity across different projects.

Example Log Entry

2026-03-15 19:00:07,444 [INFO] [selenium-mcp] Initializing Selenium MCP Server...

macOS / Linux

Logs are stored in:

/Users/<username>/.selenium-mcp/logs/

Example:

/Users/john/.selenium-mcp/logs/selenium_mcp.log

You can open it from the terminal:

cd ~/.selenium-mcp/logs
ls

View logs:

cat selenium_mcp.log

or

tail -f selenium_mcp.log

Windows

Logs are stored in:

C:\Users\<username>\.selenium-mcp\logs\

Example:

C:\Users\John\.selenium-mcp\logs\selenium_mcp.log

Open it in File Explorer:

C:\Users\%USERNAME%\.selenium-mcp\logs\

Or from Command Prompt:

cd %USERPROFILE%\.selenium-mcp\logs
dir

CONFIGURE YOUR MCP CLIENT

Add the Selenium MCP server to your MCP client configuration.

Example configuration:

{
  "mcpServers": {
    "selenium-mcp": {
      "command": "selenium-mcp"
    }
  }
}

This tells the MCP client how to start the Selenium MCP server.

Client Examples

Claude Desktop

Config file location:

macOS

~/Library/Application Support/Claude/claude_desktop_config.json

Windows

%APPDATA%\Claude\claude_desktop_config.json

Add

{
  "mcpServers": {
    "selenium-mcp": {
      "command": "selenium-mcp"
    }
  }
}

Restart Claude Desktop after updating the configuration.

Troubleshooting

If you encounter issues while setting up or running Selenium MCP, try the following solutions.

selenium-mcp: command not found

This usually means the CLI command is not available in your system PATH.

First verify the package is installed:

pip show selenium-mcp

Locate the installed command.

macOS / Linux

which selenium-mcp

Example output:

/Users/<username>/.local/bin/selenium-mcp

If the command is found, update your MCP client configuration to use the full path:

{
  "mcpServers": {
    "selenium-mcp": {
      "command": "/Users/<username>/.local/bin/selenium-mcp"
    }
  }
}

Windows

Run:

where selenium-mcp

Example output:

C:\Users\<username>\AppData\Roaming\Python\Python311\Scripts\selenium-mcp.exe

Update your MCP client configuration:

{
  "mcpServers": {
    "selenium-mcp": {
      "command": "C:\\Users\\<username>\\AppData\\Roaming\\Python\\Python311\\Scripts\\selenium-mcp.exe"
    }
  }
}

Note: Windows paths in JSON require double backslashes (\\).

REQUIREMENTS

• Python 3.10+
• Selenium
• Web browser
• webdriver-manager
• MCP Python SDK

USE CASES

This project can be used to build:

• AI test automation agents
• Autonomous QA assistants
• LLM-powered browser copilots
• Self-healing test frameworks
• AI web scraping agents
• Intelligent UI testing systems

CONTRIBUTING

Contributions are welcome.

Steps:

1. Fork the repository
2. Create a feature branch
3. Submit a pull request

LICENSE

MIT License

AUTHOR

Prashant Nayak

🔗 LinkedIn: https://www.linkedin.com/in/prashantjnayak

Built to help the QA and AI automation community build intelligent browser automation systems.

SUPPORT THE PROJECT

If this project helps you:

• Star the repository
• Share it with the QA community