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.

Debugg AI MCP

Open-source MCP server that gives AI agents access to 100+ web applications through the user's authenticated browser session. No API keys, no screenshots, no DOM scraping — talks directly to web app internal APIs via a Chrome extension. Supports Slack, Discord, GitHub, Jira, Notion, Reddit, X, and 100+ more services with ~2,000 tools. Works with Claude Code, Cursor, Windsurf, and any MCP client.

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.

Scrape any webpage and return clean markdown, HTML, or structured JSON. Bypasses anti-bot protection, renders JavaScript (React/Vue/Angular), supports premium residential proxies and CSS extraction. Works with any MCP client — no local install required.

Converts any URL to clean, token-efficient Markdown for AI agents. Strips ads, navigation, and scripts. Supports CSS selectors, batch processing (10 URLs), token counting, and smart caching.

A local MCP server that lets AI agents bypass bot detection, geo-restrictions, and JavaScript rendering challenges when scraping the web, backed by ScraperAPI's services

A Model Context Protocol server that enables Claude Desktop to browse the web, likely allowing the AI to access and interact with web content.

An MCP server implementation that integrates the SearxNG API, providing web search capabilities.