Discover our curated collection of MCP servers for browser automation. Browse 541 servers and find the perfect MCPs for your needs.
Leverages the LAM API for web browsing, data extraction, and complex web tasks automation.
Performs price research on Cimri using Puppeteer within a Model Context Protocol (MCP) example.
Provides programmatic browser control for AI assistants compatible with the Model Context Protocol.
Offers a collection of tools spanning various categories like browser automation, design, and developer tools.
Automates browser interactions using Playwright to enable LLMs to interact with web pages.
Enables AI assistants to control a browser through a set of tools for web automation tasks.
Automates Playwright test generation and browser interactions using an AI agent via natural language prompts.
Scrapes LinkedIn job listings, performs AI-driven analysis against a candidate profile, persistently indexes relevant jobs, and offers an API for management and retrieval.
Provides a unified operations platform for full-stack software engineering, integrating browser automation, web search, database management, and deployment tools.
Provides a comprehensive browser automation server for programmatic control over Chrome instances through the DevTools Protocol.
Automates web browsers, enabling AI applications to interact with and control user sessions securely and locally.
Enables AI agents to search and retrieve content from websites.
Provides programmatic access to web search results and page content extraction via an HTTP API.
Automate web browsing, scrape content, extract structured data, and crawl webpages using advanced browser agents.
Automates Grammarly's UI via Browser Use Cloud to check AI detection and plagiarism scores, then optimizes text with Claude for improved quality.
Automates job listing extraction from LinkedIn for efficient bulk data collection, streamlining research and recruitment efforts.
Automate Chrome programmatically using Playwright through the Model Context Protocol.
Enables AI agents to capture web content by taking screenshots, generating PDFs, creating OG images, and running browser automation directly from chat.
Enables AI agents to perform full browser automation and access WebMCP tools by bridging Chrome to desktop MCP clients via a streamable HTTP endpoint.
Provides AI systems with live web access through a Model Context Protocol server using the Crawl4AI library.
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