Discover our curated collection of MCP servers for browser automation. Browse 364servers and find the perfect MCPs for your needs.
Automates browser interactions for Large Language Models (LLMs) using Playwright.
Provides coding agents with programmatic access to Chrome DevTools for comprehensive browser control, inspection, and debugging.
Exposes Chrome browser functionality to AI assistants for complex browser automation, content analysis, and semantic search.
Provides a programmatic interface to automate content publishing, feed retrieval, and search functionalities on Xiaohongshu.com.
Automates web interactions for AI agents and applications without managing infrastructure.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript execution.
Integrates powerful web scraping and content extraction capabilities into LLM clients like Cursor and Claude.
Enables AI applications to control a user's existing browser instance.
Enables LLMs to control cloud browsers for web interaction, data extraction, and task automation using Browserbase and Stagehand.
Exposes comprehensive browser functions via the Model Context Protocol, enabling external applications and AI models to programmatically interact with a web browser.
Enables the development, deployment, and scaling of web browsing agents through a single API.
Facilitates communication with MCP servers by providing a LangGraph agent and a CopilotKit-powered frontend.
Fetches web page content using a Playwright headless browser, enabling JavaScript execution and intelligent content extraction.
Provides an intuitive, tool-integrated AI chat interface for seamless interaction with external services and custom workflows.
Automates browser interactions through natural language commands using the Model Context Protocol (MCP).
Enables web browsing directly from environments like Cursor by acting as a browser-use MCP server.
Scrape webpages, extract structured data, and crawl websites while providing access to browser agents.
Automates QA testing of websites using Browser-Use agents to identify UI bugs, broken links, and accessibility issues.
Provides visual context to agentic coding tools by allowing users to select browser DOM elements and feeding their data to AI.
Enables seamless interaction between users, web agents, and browsers by recording and replaying browser actions.
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