"Understanding How to Use a Browser" matching MCP servers:

Enables AI agents to autonomously operate web browsers through the Model Context Protocol, including navigating pages, clicking, typing, filling forms, and extracting structured data.

An MCP server that connects any MCP client (like Claude or Cursor) with the browser using browser-use, allowing clients to utilize existing LLMs without requiring additional API keys.

Facilitates browser automation with custom capabilities and agent-based interactions, integrated through the browser-use library.

Enables AI agents to control a persistent Chrome browser through a local daemon, with Jev performing routine actions and the host agent handling reasoning, text, and verification.

Enables AI agents to control and automate browser actions through an MCP server deployed on Heroku. Supports programmatic browser automation with natural language tasks across multiple LLM providers.

A FastMCP server that enables browser automation through natural language commands, allowing Language Models to browse the web, fill out forms, click buttons, and perform other web-based tasks via a simple API.

Enables the Pi coding agent to drive Chrome through DevTools, providing browser automation tools, persistent or isolated profiles, screenshots, page analysis, and bundled agent policies.

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

Enables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.

MCP server enabling LLMs to perform browser tasks via SSE transport, allowing clients like Cursor.ai and Claude to open websites and interact with web content through natural language commands.

MCP server that wraps sendblue-browser-use's HTTP API, providing tools to control a stealth-patched Chromium browser with persistent sessions, navigation, screenshots, and script execution.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Provides an MCP server for macOS that allows agents to control a managed browser with accessibility-first actions, visible cursor, and screenshot return.

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

Browser use using Typesafe's Jev model

MCP server enabling AI agents to control a real Linux browser with live view, human takeover, and safety guardrails.

MCP server that gives AI full control of a live Chrome browser via CDP, with 145 tools for framework-aware intelligence, evidence analysis, and SEO auditing. Connects to your existing Chrome via an extension, enabling interaction with dynamic and authenticated web pages.

Enables AI agents to drive a real headful Chrome browser using vision-first computer interactions, with support for multi-agent tab groups, password-manager-filled logins, and human handoff.

MCP server that lets agents drive your real Chrome browser with existing logins and sessions via an outbound-only WebSocket extension. It exposes Playwright-compatible browser tools for navigation, clicking, typing, and snapshots.

A hardened local browser MCP server that drives your existing Chrome over the DevTools Protocol, providing token-efficient Markdown extraction and stealth features to avoid trivial automation detection.