"Using a Browser with Dev Tools to Debug a Web Application" matching MCP servers:

Enables AI agents to control a persistent Chromium browser or attach to an existing Chrome with sandboxed JavaScript and structured tools for web interaction and automation.

This application is a powerful browser monitoring and interaction tool that enables AI-powered applications via Anthropic's Model Context Protocol (MCP) to capture and analyze browser data through a Chrome extension.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.

Provides web access capabilities for LLMs including search, fetching, content extraction, PDF reading, image viewing, and screenshots.

Enables AI agents to extract structured content from URLs, search the web via DuckDuckGo, monitor site availability, and convert HTML to markdown without requiring API keys.

An advanced web browsing server enabling headless browser interactions via a secure API, providing features like navigation, content extraction, element interaction, and screenshot capture.

Enables web browsing capabilities using BeautifulSoup4

Provides web connectivity tools for searching the web via DuckDuckGo or SerpAPI, fetching URL content, and extracting readable text from web pages.

Enables AI agents to perform query-driven web searches and fetch page content via Bing and DuckDuckGo engines, with automatic fallback and no API keys needed.

Enables web searching and fetching pages converted to Markdown through local stdio MCP tools, so Claude Code and other MCP clients connected via third-party relays retain internet access instead of failing with a server-side tool protocol error. Includes paginated reading of long articles, SSRF/private-network blocking, and charset handling for legacy Chinese sites.

Multi-engine web search and content extraction MCP server with 10 sources, 4-way parallel queries, and content extraction via Jina Reader, no API keys required.

MCP server exposing web_search, web_fetch, and cluesift_domain_fetch tools with configurable Ollama API keys and HTTP or stdio transport.

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.

A custom MCP server that provides AI agents with tools to fetch web pages, extract readable article text, extract structured data by CSS selector, and check robots.txt permissions.

Reliable, scalable browser infrastructure for AI agents. Route, pool, and failover across any browser provider. 8 built-in browser tools using raw Chrome CDP - navigate, screenshot, snapshot, interact, evaluate. Zero-config with auto Chrome detection & concurrent sessions support

Enables browser automation (navigate, screenshot, click, type, etc.) for Claude Code via MCP protocol, with a Chrome extension for configuration.

Rust-based MCP server that lets AI agents natively control and debug Chromium browsers via the Chrome DevTools Protocol (CDP). Single pre-compiled binary, installable with npx @raultov/chrome-debug-mcp, Homebrew or one shell command — no Rust toolchain.

Enables browser automation over MCP using a real Chrome browser with existing profile, supporting real tabs, downloads, cookies, and RPA workflows.

Enables retrieval of YouTube video titles and transcripts/subtitles through an MCP interface backed by a headless Playwright browser, with optional persistent login/session and stdio or HTTP streaming transports.

Enables AI agents to open, read, and act on live web pages through verified browser actions, including filling forms, extracting data, debugging pages, and handling bot walls.