"Information about browser usage or browser use statistics" 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.

Enables browser automation using Python scripts, offering operations like taking webpage screenshots, retrieving HTML content, and executing JavaScript.

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

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.

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

An MCP server that enables remote observation and control of a Chromium browser via a WebSocket relay, supporting DOM, CDP, and native OS automation for local or LAN-based AI agents.

An MCP server that enables AI assistants to control a web browser through natural language commands, allowing them to navigate websites and extract information via SSE transport.

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 MCP clients to drive a self-hosted Chrome session for browsing tasks through browser tools, while providing a live view URL so a human can take over at prompts like logins or 2FA.

Enables remote agents to control a local Chrome/Edge browser via MCP, supporting navigation, snapshots, clicks, typing, screenshots, and script execution.

A token-efficient MCP server for Chrome browser automation that uses direct CDP and accessibility-tree-based references for stable element selection across DOM changes.

Human-in-the-loop automation framework. Log them in, watch them run.

MCP server for AI browser automation with tools for navigation, actions, data extraction, and scripting, supporting local and cloud execution.

Ultra-fast browser automation server over Chrome DevTools Protocol (CDP), exposed as MCP, enabling AI agents to control a real Chrome browser with low latency and minimal token usage.

An MCP server that enables AI coding tools to control a browser for automated actions, UI extraction, network interception, and screenshots.

A session-based MCP server that provides advanced browser automation capabilities, allowing users to control browsers, navigate websites, interact with elements, capture screenshots, generate PDFs, and manage cookies through natural language.

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

Provides a headless Chromium browser through MCP, enabling AI agents to browse JavaScript-rendered pages, search the web, capture screenshots, extract tables and data, and run stateful multi-step interactions like clicking, typing, and form submission.

Hosted Chromium browser as an MCP skill, enabling agents to navigate, click, type, snapshot, and read pages with human-like behavior and per-user isolated sessions.

An MCP server for comprehensive browser automation and full local PC control via shell commands and Python execution. It enables tasks like web navigation, file system management, and remote access through SSE with token authentication.