MCP Browser

MCP Browser is a headless browser interface built on the Model Control Protocol, designed to give AI assistants direct access to web content and interactive browsing capabilities. By wrapping Playwright in an MCP‑compatible server, it turns the browser into a first‑class tool that can be invoked, observed, and controlled by any MCP client—whether a Claude agent, a custom chatbot, or an automated workflow engine.

The core problem it solves is the “no‑browser” gap that many AI systems face: most assistants can only reason over text and structured data, but they cannot natively navigate the web, scrape dynamic pages, or trigger client‑side events. MCP Browser exposes a lightweight HTTP/WebSocket API that lets an agent launch pages, run JavaScript, capture screenshots, and listen to DOM mutations—all without opening a visible browser window. This enables agents to perform real‑world tasks such as searching for up‑to‑date information, filling out forms, or monitoring single‑page applications in a way that feels natural to the developer.

Key capabilities include:

• Headless automation through Playwright, supporting Chromium, Firefox, and WebKit with full scriptable control.
• Web UI for manual inspection or debugging, accessible via the endpoint while the server runs in headless mode.
• Real‑time event subscription over WebSockets, delivering navigation events, console logs, network traffic, and DOM changes as they happen.
• MCP integration that allows agents to register the browser as a tool, invoke actions through standard MCP calls, and receive structured responses or event streams.
• Docker support for rapid deployment in CI/CD pipelines, microservices, or serverless environments.

In practice, developers can embed MCP Browser into a multi‑tool AI workflow: an agent first queries a knowledge base, then calls the browser tool to fetch the latest data from a website, parses the page with JavaScript or XPath, and finally returns structured results to the user. Other use cases include automated UI testing, content moderation pipelines that need to render JavaScript, or data‑driven monitoring systems that watch for changes on specific URLs. By treating the browser as a programmable resource, MCP Browser removes the friction between AI reasoning and dynamic web content, giving developers a powerful, protocol‑native bridge to the interactive internet.