"Browser Automation Tools" matching MCP servers:

An MCP server that enables multiple AI models (ChatGPT, Gemini, Claude, Grok) to discuss, debate, and reach consensus via browser automation.

MCP server providing browser automation for AI agents, enabling actions like clicking and typing, structured data extraction, content validation, multi-step task execution, and memory enrichment from web pages.

A Model Context Protocol server that provides browser automation capabilities using BrowserCat's cloud browser service. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment without needing to install browsers locally.

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

Exposes OpenClaw tools (web search, page fetching, browser automation, PDF analysis, messaging, inter-agent communication, Canvas) as MCP tools for ACP agents.

A browser-automation MCP server built on Playwright that provides deterministic snapshots via MutationObserver/requestAnimationFrame, HITL governance, multi-task isolation, and self-healing browser sessions for LLM-driven browsing.

Standalone MCP server exposing only the security-classified tools from Shade Browser, enabling Brave CDP browser automation across 20 isolated profile slots. Built on FastMCP and Playwright Python.

A local stdio MCP server that drives your Chrome browser through the Asklear extension, offering six browser tools for navigation, observation, clicking, filling, scrolling, and extraction — all operations remain on your machine.

Controls the Brave browser via CDP for web automation, OSINT, and social media crawling, including navigation, CAPTCHA detection, session persistence, and video control.

A dynamic browser pool MCP server that gives each agent its own isolated browser, enabling concurrent browser automation without conflicts.

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

Enables AI agents to securely control a user's existing Chrome profile locally, providing typed browser actions, form and editor support, WordPress workflows, terminal automation, and Figma inspection with policy-based authorization and redacted auditing.

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 browser automation in which a planning LLM states one outcome at a time while a Typesafe System One model decides which element, action, and value to use, with Playwright carrying it out. Exposes tools for opening pages, driving multi-step goals, checking or choosing among options, reading relevant page text, acting on elements directly, and calling a page's own WebMCP tools.

Provides undetectable browser automation for AI agents, bypassing Cloudflare and other anti-bot systems. Includes 97 tools for navigation, scraping, network interception, and element cloning.

Enables AI assistants to control a real web browser through 42 MCP tools for navigation, clicking, typing, forms, file handling, data extraction, CAPTCHA solving, and browser sessions. It also supports multi-agent isolation, persistent profiles, identity vaults, and agent-to-agent messaging.

Enables browser automation where a calling LLM states one desired outcome per step and a separate decision model chooses the element, action, value, and completion status, with Playwright carrying out the action. Exposes tools for navigating, performing and verifying steps, reading question-relevant page text, taking snapshots, capturing screenshots, and invoking tools that pages register for agents.

Enables DeepSeek Harness agents to control a real Jiey Browser instance via MCP, providing tools for web navigation, interaction, and data extraction.

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.

Enables LLM-driven browser automation in which the caller states one outcome at a time while a Typesafe System One model decides the target element, action, value, and completion status locally, with tools for navigating, acting, checking, reading page text, taking screenshots, and invoking WebMCP tools that pages register.

Enables governed browser automation for AI agents with human-in-the-loop approval, audit logging, and read-only replay, supporting both ASK and AUTO autonomy modes.

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.

Persistence, headed Chromium browser control for MCP clients like OpenCode and Claude Code, enabling navigation, inspection, clicking, filling, and human-gated actions on JavaScript-heavy or login-walled pages.

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.

MCP server for multi-engine browser automation with proxy rotation, enabling AI-driven web interaction and task execution across Camoufox, DrissionPage, and Browser Use.

Enables AI agents to control a real, persistent Chrome browser over MCP, perceiving pages as accessibility trees and interacting with elements by their accessible names without automation fingerprints or site-specific glue.

Optimizes browser automation for AI agents by reducing token usage and latency through smart element extraction and caching.

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.

A high-performance MCP server for browser automation via Chrome DevTools Protocol, enabling fast, low-cost, and anti-bot web interactions.

Enables autonomous multi-step web navigation and interaction through condensed ARIA snapshots, fast local reflex decisions, and selective LLM escalation. Exposes browser automation capabilities such as browsing, snapshot extraction, and atomic smart actions over the Model Context Protocol.