MCP Servers for Browser Automation

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Interact with Webflow sites, pages, and collections.

A server that leverages Playwright for automated browser testing and integrates with Cloudflare Workers, enabling AI assistants to control web browsers for navigation, interaction, and screenshots.

Implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT.

Official Bright Data server for the Model Context Protocol that enables AI assistants like Claude Desktop to reference and make decisions based on real-time public web data.

A Model Context Protocol server that enables LLMs to interact with AdsPower browser LocalAPI, allowing for operations like creating, opening, updating, and managing browser profiles with custom fingerprints.

Manage your GoLogin browser profiles and automation directly through AI conversations. This MCP server connects to the GoLogin API, letting you create, configure, and control browser profiles using natural language.

Unleashes LLM-powered agents to autonomously execute and debug web apps directly in your code editor, with features like webapp navigation, network traffic capture, and console error collection.

An official MCP server implementation that allows AI assistants to capture website screenshots through the ScreenshotOne API, enabling visual context from web pages during conversations.