Allows LLMs to control and interact with web browsers via Puppeteer and MCP, supporting web scraping, automated testing, and web-based report generation.
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MCP servers for automating and controlling the user's browser using existing browser profiles, ideal for tasks requiring logged-in sessions and avoiding bot detection. Includes implementations by browsermcp and modelcontext.
Provides an async browser automation server using OpenAI's GPT-4o model, enabling remote web navigation, content extraction, and task execution with configurable browser contexts. This is a robust MCP server solution for browser automation.
An MCP server for cloud browser automation using Browserbase, Puppeteer, and Stagehand, enabling LLMs to interact with web pages, take screenshots, and execute JavaScript in a headless browser environment.
An MCP server using Puppeteer for browser automation, scraping, and interaction.
An MCP server implementation using Playwright for browser automation and web scraping tasks, enabling automation within the MCP ecosystem. Several projects implement this, including Automata Labs, ExecuteAutomation, and the Playwright Community.
An MCP server for Apify's RAG Web Browser Actor, performing web searches, scraping URLs, and returning content in Markdown within the MCP protocol.
Puppeteer-MCP enables LLMs to automate and interact with web browsers using Puppeteer and the Model Context Protocol (MCP). It is designed for advanced web automation, including web scraping, testing, and report generation.
No specific pricing information is provided in the available content. The tool appears to be open source and can be installed or run freely via npm or npx.