Browser Automation MCP Servers
Discover our curated collection of MCP servers for browser automation. Browse 315servers and find the perfect MCPs for your needs.
Agents
Automate browser interactions using natural language commands, powered by AI.
Steel Puppeteer
Automates browser interactions for LLMs using Puppeteer and the Model Context Protocol.
Consolelogs
Monitors browser console logs and network requests using Playwright, exposing them as Model Context Protocol (MCP) tools.
Wavebox
Enables Claude to programmatically control the Wavebox browser for tab management, navigation, and page content interaction via AppleScript.
Concurrent Browser
Manages multiple parallel browser instances for concurrent web automation tasks using Playwright.
Requestly
Manages Requestly rules and groups through a Model Context Protocol server, enabling full CRUD operations and integration with MCP clients.
GoScry
Automates web browser interactions through an API for tasks like navigation, data extraction, and authentication.
Chromium ARM64
Enables robust, high-performance browser automation on ARM64 architectures, designed to overcome limitations of traditional tools for autonomous testing and AI development on budget hardware.
Selenium
Automate web browser interactions, testing, and scraping for AI assistants and applications using a comprehensive set of Selenium WebDriver tools.
Browser Operator
Enables LLMs to control web browsers through a standardized JSON-RPC interface for automation and analysis.
Brightspace
Connects Purdue students' Brightspace accounts to access academic data via web scraping, handling Duo Mobile 2FA.
Bridge
Facilitates server-side communication for the Firefox Claude extension.
NeoForge Browser
Automates a headless browser interface for interacting with AI agents.
Browser Automation
Automate web browser interactions for AI assistants.
Browser Use
Automates browser interactions using natural language commands via the Model Context Protocol (MCP).
Blowsh
Enables AI agents and clients to browse and extract content from modern, JavaScript-rendered web pages as plain text, HTML, or Markdown.
Shop
Enables AI models to find the best online shopping deals by browsing multiple e-commerce websites and regions.
Fetch
Provides a Model Context Protocol server for controlling web browsers and executing arbitrary JavaScript on pages using Puppeteer.
Spring AI Chrome
Automates interactions with the Chrome browser via a server.
Web-LLM
Provides an MCP server to programmatically interact with Web-LLM models running in a browser environment.
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