Discover our curated collection of MCP servers for browser automation. Browse 691 servers and find the perfect MCPs for your needs.
Automates browser interactions and enables LLMs to engage with web pages for tasks like screenshot capture and JavaScript execution.
Automates posting tweets from X (Twitter) using data sourced from a Google Sheet.
Automates browser interactions using Playwright to enable LLMs to interact with web pages.
Generates AI-powered meeting summaries and answers questions based on transcripts, delivering high-quality Markdown reports.
Enables AI assistants to control a browser through a set of tools, allowing them to perform web automation tasks like navigation, typing, clicking, and taking screenshots.
Provides a robust web content search and extraction service with intelligent browser instance management.
Provides a unified operations platform for full-stack software engineering, integrating browser automation, web search, database management, and deployment tools.
Enables large language models or external tools to interact with a browser through a standardized Model Context Protocol for automation.
Generate high-quality web page screenshots using Playwright with extensive customization options.
Empowers Large Language Models to automate web browsers through natural language prompts, eliminating the need for traditional scripting.
Automate web browsing, scrape content, extract structured data, and crawl webpages using advanced browser agents.
Empowers AI models to browse the web and perform automated quality assurance testing for websites.
Automate Chrome programmatically using Playwright through the Model Context Protocol.
Orchestrates an AI agent to autonomously build and validate micro-SaaS products for freelancers, targeting common pain points like scope creep and late payments.
Unifies powerful web search and page fetching capabilities into a single Playwright-based server for efficient content retrieval.
Automate fetching and parsing of webpages, including those protected by Cloudflare challenges.
Enables AI agents to control a real Chrome browser instance, complete with user profiles, extensions, and persistent data, allowing human oversight.
Integrates a Model Context Protocol (MCP) server directly into a Chromium fork, enabling robust browser automation without traditional detection methods or extensions.
Automates operations on Xiaohongshu, allowing AI assistants to effortlessly manage content and interactions on the platform.
Empowers AI agents with full web browser control for navigation, interaction, and data retrieval across any website.
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