Browser MCP

Browser MCP is an MCP server paired with a Chrome extension that brings browser automation directly into your AI‑centric development workflow. Instead of spinning up isolated headless browsers, it taps into the user’s own Chrome profile, enabling AI assistants such as Claude, VS Code, Cursor or Windsurf to control a real browser session. This approach eliminates the typical barriers of login persistence, CAPTCHA challenges and bot‑detection heuristics that plague conventional automation tools.

The server exposes a rich set of MCP capabilities: resource handling for browsing contexts, tool invocation for interacting with page elements, prompt customization to shape the assistant’s behavior, and sampling controls for fine‑tuning output. By running locally, all traffic stays on the developer’s machine, preserving privacy and reducing round‑trip latency. The extension injects a lightweight bridge into the browser, translating MCP requests into DOM actions and gathering telemetry for the assistant. This tight integration means that developers can script complex browsing tasks—such as form submission, data scraping or UI testing—directly from their IDE or conversational AI interface without leaving the familiar environment.

Key features include fast, local execution that bypasses external servers, full privacy because no browsing data leaves the device, and native login support that leverages existing credentials in the user’s profile. The stealth mode further mitigates detection by employing the genuine browser fingerprint, which is crucial for accessing sites that aggressively block automation. These properties make Browser MCP uniquely suited for scenarios where data sensitivity, speed, and uninterrupted access to authenticated services are paramount.

Real‑world use cases abound: a data engineer can have an AI assistant pull the latest sales figures from an internal dashboard, a QA engineer can automate end‑to‑end tests against the live application, and a product manager might let an assistant fill out forms or generate screenshots for stakeholder demos—all without exposing credentials to cloud services. The server’s modular MCP interface also allows developers to extend or customize the toolset, integrating additional actions such as file uploads, screenshot capture or network monitoring.

In essence, Browser MCP bridges the gap between local browser environments and AI assistants, delivering a seamless, secure, and high‑performance automation layer that empowers developers to harness the full potential of conversational AI in everyday web workflows.