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.

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.

An MCP server implementation that integrates the SearXNG API for powerful web search capabilities and uses @missionsquad/puppeteer-scraper to read and process live web content.

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.

BrowserStack MCP server

A plug-and-play MCP server that enables AI assistants to browse, search, and read Reddit content through the PRAW library.

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.

This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.