{"id":"browser-use-mcp-server","name":"Browser Use MCP Server","homepage":"https://cobrowser.xyz","repo_url":"https://github.com/kontext-dev/browser-use-mcp-server","category":"automation","subcategories":["browser-automation","web-interaction"],"tags":["browser-automation","playwright","browser-use","web-navigation","mcp","vnc","docker","ai-agents","python"],"what_it_does":"MCP server that enables AI agents to control web browsers via the browser-use library and Playwright, supporting navigation, data extraction, and web-based task automation with real-time VNC streaming for visual monitoring.","use_cases":["AI agent-driven web browsing and navigation","Automated form filling and web interactions","Web data extraction through browser automation","Visual monitoring of agent browser sessions via VNC","Prototyping AI web agents with real browser control"],"not_for":["High-volume web scraping (better tools exist for that)","Production browser testing suites","Environments where OpenAI API access is not available","Simple URL fetching or static page scraping"],"best_when":"You need AI agents to interact with web pages in a real browser with visual monitoring, and you're comfortable with Python-based tooling and OpenAI API dependency.","avoid_when":"You need a lightweight solution without external LLM API costs, want to avoid OpenAI vendor lock-in, or need high-volume scraping rather than interactive browser control.","alternatives":["playwright-mcp-server","puppeteer-mcp-server","browserbase-mcp","browser-tools-mcp"],"af_score":53.2,"security_score":45.0,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":"unknown","last_evaluated":"2026-03-01T09:50:05.347240+00:00","performance":{"latency_p50_ms":null,"latency_p99_ms":null,"uptime_sla_percent":null,"rate_limits":null,"data_source":"llm_estimated","measured_on":null}}