"Information about browser usage or browser use statistics" matching MCP servers:

Enables AI agents to automate web browsers using local Ollama models via the Model Context Protocol, supporting tasks like web search, data extraction, and e-commerce analysis through natural language commands.

A Model Control Protocol server that enables AI agents to perform web browsing tasks through a standardized interface using the browser-use library.

MCP server that lets AI assistants browse the web through your real Chrome with your cookies, sessions, and fingerprint, avoiding bot detection and CAPTCHAs. Enables web browsing, content extraction, and multi-step workflows via persistent tabs.

touch-browser is an evidence-grounded MCP server for public docs and research web workflows. It helps AI agents search and open web pages, extract page-local evidence with citations and confidence bands, classify browsing risk, and synthesize multi-page sessions into citation-ready reports.

A headless browser MCP server that allows AI agents to fetch web content and perform Google searches without API keys, supporting various output formats like Markdown, JSON, HTML, and text.

An MCP server that allows users to interact with their browser through natural language commands, enabling actions like getting page content as markdown, modifying page styles, and searching browser history.

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.

This MCP server provides tools for interacting with Cloudflare Browser Rendering, allowing you to fetch and process web content for use as context in LLMs directly from Cline or Claude Desktop.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

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

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.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

MCP server that lets AI agents perform Google AI Mode searches using the user's own browser session, returning synthesized answers with citations.

Private knowledge base with Markdown pages and assets, exposed via MCP for agent access.

Enables AI agents to perform web research over MCP: search with a real browser, fetch JS-rendered pages, download PDFs and convert them to Markdown, then search and page through large documents using bounded previews so the context window isn't flooded.

Enables real-time internet searches via DuckDuckGo Lite with automatic retry, smart caching, and category detection for reliable results.

Provides seamless access to official Ukrainian government statistics from the State Statistics Service via their SDMX API. It enables users to query bilingual datasets across domains like energy, demographics, and trade using flexible filtering and metadata exploration tools.

An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.

Enables natural language analysis of Azure usage data from CSV files, providing cost summaries, visualizations, and insights about service and regional spending patterns.