AI systems are getting stronger every month. Yet one major gap has remained: MCP clients could not interact with the live web. No clicking, no logging in, no navigating real applications.
That limitation prevented many real-world workflows from becoming automated or testable.
I wanted to change that.
mcp-browser-use-server is an open-source project built to show how AI can safely work with a real browser, directly inside the Model Context Protocol ecosystem. It connects MCP clients with a full browser automation stack built on browser-use and Playwright, making the live web accessible in a controlled and transparent way.
Why I Built mcp-browser-use-server
In my work with AI tooling and orchestration, I saw a recurring need: AI systems must be able to interact with real products—not only APIs.
Many important tasks still happen in web interfaces:
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onboarding flows,
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internal dashboards,
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forms and configuration screens,
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tools without APIs,
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legacy systems that only exist as browser applications.
To automate, test, or validate these workflows, AI needs safe and visible access to a real browser.
mcp-browser-use-server was created to provide exactly that.
- It uses browser-use to manage the browser in a structured way.
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It uses Playwright to perform real interactions.
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It integrates cleanly into MCP clients through a transparent automation stack.
The goal is simple: Give AI agents safe browser capabilities while keeping full control, visibility, and reproducibility.
The Vision
This project shows that browser workflows can become part of a modern AI system. Reliable. Testable. Understandable.
For developers, it serves as a learning platform for MCP-based browser automation.
For teams, it demonstrates how AI can work with existing web tools—even without APIs.
Just like ChatSuite brings AI tools together, mcp-browser-use-server adds one more building block: live browser interaction inside the MCP ecosystem.
What It Delivers
The project focuses on clarity and practical engineering:
- real browser automation with full control,
- visual insight into what the AI agent is doing,
- stable long running workflows,
- simple Docker deployment,
- sessions that keep state across steps,
- and a clean, inspectable architecture.
These capabilities allow AI to operate browser workflows in a visible, predictable, and testable way.
Explore the Project
The full project is available on GitHub: https://github.com/hubertusgbecker/mcp-browser-use-server
mcp-browser-use-server runs locally through Docker and works with MCP clients such as Cursor or Claude Desktop. Developers can study the architecture, extend it for their own use cases, or integrate it into an existing MCP setup.