Stay free if you only need full open-source mcp server (mit license) and direct control and autonomous agent modes. Upgrade if you need managed chromium infrastructure and residential proxies and stealth mode. Most solo builders can start free.
Why it matters: Slow execution: 5-15 minutes for tasks a human completes in 60 seconds
Available from: Cloud (Browser Use Cloud)
Why it matters: Cloud costs are unpredictable — a single retrying agent can burn $1-5 on a simple task
Available from: Cloud (Browser Use Cloud)
Why it matters: Reliability degrades sharply on complex SPAs, shadow DOM, and iframe-heavy or anti-bot sites
Available from: Cloud (Browser Use Cloud)
Why it matters: Local setup requires Python 3.11+, uv, and Playwright browser dependencies — not trivial for non-Python users
Available from: Cloud (Browser Use Cloud)
Why it matters: No native session persistence locally; requires manual Chromium profile configuration to retain logins
Available from: Cloud (Browser Use Cloud)
The MCP server itself is free and open-source — you only pay for LLM API calls. With GPT-4o, expect roughly $0.01-$0.05 per browser action and $0.20-$1.00 for a typical 20-step task. With local Ollama models, the marginal cost is $0, though reliability drops noticeably on complex pages. Cloud mode adds approximately $0.06/hour for browser infrastructure plus residential proxy and CAPTCHA-solving fees, which can push a single retrying task to $1-$5.
Browser Use is the underlying Python framework with 50,000+ GitHub stars that handles the actual Playwright orchestration and LLM-driven browser reasoning. The MCP Server is a thin wrapper that exposes that engine through the Model Context Protocol, so MCP-aware tools like Claude Code, Cursor, and Windsurf can call it as a tool without writing Python. Same engine, different interface — choose the library if you're building a Python app, choose the MCP server if you want your coding assistant to drive a browser.
Run it locally if you're comfortable with Python and want full cost control — you pay only for LLM tokens. Use the cloud version if you need anti-bot stealth, residential proxies, CAPTCHA solving, or session persistence without managing infrastructure. Cloud adds about $0.06/hour on top of LLM costs, which is reasonable for occasional use but adds up quickly on high-volume workloads. Most developers should start local and only move to cloud when they hit a specific blocker.
For developer-in-the-loop workflows like research, scraping, and exploratory testing, yes — it's stable enough to use daily. For unattended production automation requiring 99%+ completion rates, no. The agent can get stuck on blank pages, retry expensively, or fail silently on complex SPAs. Compared to the other Browser Automation tools in our directory, teams running mission-critical flows should look at Skyvern, hand-written Playwright scripts, or hosted RPA platforms instead.
It officially supports Claude Code (via the `claude mcp add` command), Cursor, Windsurf, and Claude Desktop, covering the four most popular MCP-compatible coding environments in 2025-2026. Any other client that implements the Model Context Protocol specification can connect to it as well, since MCP is a vendor-neutral standard. Configuration is typically a single JSON entry in the client's MCP config file pointing at the server binary or Docker container.
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Last verified March 2026