"Browser Application" matching MCP servers:

Provides persistent browser tabs with tools to read, click, type, and interact with web pages, enabling local LLM agents to perform multi-step web tasks.

Browser-based research MCP server that drives a real Chromium browser via patched Playwright to access JavaScript-rendered content, dynamic tables, and login-walled dashboards. It provides tools for visiting URLs to extract DOM text and screenshots, and for performing structured data extraction using Anthropic Claude Sonnet.

Agent-native browser control MCP server that enables AI agents to browse and interact with web pages via accessibility tree snapshots and ref ID-based commands.

Enables AI agents to automate browsers through Playwright behind multi-layer safety guards, restricting navigation to allowed domains, defaulting to read-only actions, and recording all behavior in audit logs.

A Playwright-based MCP server that prioritizes browser observation over automation, providing specialized tools for inspecting DOM, network, and console data. It categorizes operations into safe inspection tools and interactive action tools that require explicit escalation and justification.

Enables stealth web browsing and search with Cloudflare Turnstile bypass, dynamic residential proxy rotation, and token-optimized markdown extraction.

MCP server that enables natural language control of internet radio from Claude Code, with access to 30,000+ global stations, auto-playback via mpv, and a real-time status line with audio spectrum visualization.

Browser-backed MCP wrapper for mcp-atlassian with Playwright SSO auth. Enables AI tools to access Atlassian Server/Data Center instances behind corporate SSO (Okta, SAML, ADFS) where API tokens are not available

MCP server that enables accessing Jira and Confluence using browser cookies captured via a Chrome extension, avoiding the need for API tokens or browser automation. It wraps the mcp-atlassian toolset and works with Atlassian Cloud and Server/Data Center behind SSO.

Enables coding agents to drive a real Chrome browser to complete natural-language web tasks and return evidence for verification.

Enables web search via a real browser for any LLM, bypassing anti-bot measures without API keys.

A local MCP server that leverages your real Chrome session to read and interact with web pages, including JavaScript-rendered and login-required content. Supports page actions like clicking, scrolling, typing, and platform-specific tools for Zhihu, Xiaohongshu, X, Reddit, and search engines.

MCP server that gives AI coding assistants direct access to the browser — navigate, click, fill forms, run JavaScript, take screenshots, and read page content.

Enables inspection and control of Arc Browser spaces and tabs on macOS, including reading sidebar/history data and performing actions like focusing spaces, creating and closing tabs.

A Windows-only MCP server for controlling a real browser using native screenshots, Windows accessibility, and node-interception mouse/keyboard input, without CDP or Playwright.

A privacy-first MCP server for locally managing job, fellowship, and graduate-school applications. It offers tools for tracking application status, analyzing role fit, generating LaTeX CV/cover letters, interview prep, and discovering public jobs from ATS APIs.

Exposes a headful, collaborative browser over MCP so an agent and a user can share one visible Chromium window: the agent navigates, reads, clicks, types, and fills forms, while the user watches and can take over for passwords, CAPTCHAs, 2FA, and payments, with every action written to an append-only audit trail. It also runs headless under a chat-based harness.

Enables AI agents to directly control your real Chrome browser with full context including login sessions, cookies, and open tabs. It provides tools for page scanning, JavaScript execution, CDP control, screenshots, and physical mouse/keyboard input for authentic browser automation.

Enables AI agents to control a browser with self-healing locators that automatically recover when selectors change, allowing reliable web automation through natural language.

Lets an AI assistant inspect a running Google Chrome or Microsoft Edge browser over the Chrome DevTools Protocol, reading console output, network traffic, DOM snapshots, errors, performance metrics, storage, and screenshots. It also supports live event subscriptions, screen-frame streaming, and one-shot export of everything into an offline-readable archive such as HAR, CSV, and a self-contained HTML report.