productivity

selenium_mcp

amandeep-sg

by amandeep-sg

MCP tools build using selenium to automate web testing or scraping

Bridges AI assistants with Selenium WebDriver to enable web automation, testing, and scraping through comprehensive browser control tools.

github stars

2

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

best for

  • / General purpose MCP workflows

capabilities

  • / create_webdriver
  • / quit_webdriver
  • / navigate_to_url
  • / click_element
  • / input_text
  • / find_element

what it does

Bridges AI assistants with Selenium WebDriver to enable web automation, testing, and scraping through comprehensive browser control tools.

about

selenium_mcp is a community-built MCP server published by amandeep-sg that provides AI assistants with tools and capabilities via the Model Context Protocol. MCP tools build using selenium to automate web testing or scraping It is categorized under productivity. This server exposes 20 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install selenium_mcp in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

selenium_mcp is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Selenium_MCP

This server is implemented in python to bridge the gap between the AI Assistant or (custom MCP clients) and Selenium Webdrivers. It exposes selenium webdriver functionalities as MCP tools allowing AI assistanct/MCP clients to user them to perform task for web automation, web testing or web scraping.

Release Notes

Version 2.0.0 - Release 4 April 2026

In this version, we have done some structural changes like seperating functions into save and get. Now save is just focused on saving files on the disk. And get is where LLM wants to get the data from the browser.

Following are the list of enhancements:

  1. Get: To get webpage as markdown, html, screenshot, element's screenshot, list of urls
  2. JS Executor: To execute javascript code for interacting with the webpage
  3. Files: To upload and download files
  4. Alerts: To handle alerts
  5. Click: Added drag and drop of elements by xpath
  6. File: To save webpage as pdf on disk

Version 1.0.0 - Release 31 March 2026

  1. Web Driver: Create new or quit exiting webdiver sessions
  2. Cookies: To manage cookies (add, delete, get, clear)
  3. Clicks: To perform clicks on elements (left client, right click, double click)
  4. Browser: To navigate urls and manage browser capabilities like resize, maximize, minimize, fullscreen, etc.
  5. Scroll: To scroll the entire webpage
  6. Input: Input text into elements and select/unselect checkbox, radio buttons, dropdowns options, etc.
  7. Find: To find element by xPaths

Key Features

  1. Humanised error handleing, enables LLM to intreperate errors and reconfigure tool usage accordingly
  2. Comprehensive element interaction: Clicks, input, select are performed by checking if element is visible, enabled, clickable, etc
  3. Full Navigation control: Open New url, click forward, backward, refresh, etc

The tools leverages following technologies to support

  1. FastMCP: For MCP server implementation
  2. Selenium: For web automation
  3. Google GenAI: For AI assistant

Upcomming

Following are the list of features that will be added in the future:

  1. Tools to support Chrome Dev Tools & BiDi
  2. Enhance save functionality to save files in different formats

Example

Prompt: "Open https://rfpnotification.com and join the waiting list by entering the email address: [[email protected]]"

BeforeAfter
BeforeAfter

After running the script, the browser took the screenshot to check if the email was entered successfully. Screenshot

Test In Action

Test in action

Dev Setup

Clone the repository

git clone {url}

Create virtual environment

python3 -m venv venv
source venv/bin/activate

Install dependencies

pip install -r requirements.txt

Run the server

python server.py

The package comes with a lightweight MCP client using Google GenAI SDK to test the server. It is implemented in server.py file. To use it, you need to have a Google GenAI API key. Set it in the .env file as GEMINI_API_KEY={your_api_key}.

Run the client

python server.py

FAQ

What is the selenium_mcp MCP server?
selenium_mcp is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for selenium_mcp?
This profile displays 70 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.670 reviews
  • James Mehta· Dec 28, 2024

    Useful MCP listing: selenium_mcp is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Shikha Mishra· Dec 16, 2024

    I recommend selenium_mcp for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Xiao Dixit· Dec 16, 2024

    Useful MCP listing: selenium_mcp is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Nikhil Malhotra· Dec 4, 2024

    selenium_mcp is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Diego Sethi· Dec 4, 2024

    Strong directory entry: selenium_mcp surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Sofia Torres· Dec 4, 2024

    We evaluated selenium_mcp against two servers with overlapping tools; this profile had the clearer scope statement.

  • James Menon· Nov 23, 2024

    We wired selenium_mcp into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Camila Bansal· Nov 23, 2024

    selenium_mcp has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Mateo Bhatia· Nov 23, 2024

    selenium_mcp is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Ishan Zhang· Nov 19, 2024

    According to our notes, selenium_mcp benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

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