MCP server w/ Browser Use

@JovaniPink

Repository

Basic information

About MCP server w/ Browser Use

FastAPI server implementing MCP protocol Browser automation via browser-use library.

#python #mcp #agentic-ai#agent-ai#browser-use

MCP server w/ Browser Use config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-browser-use-jovanipink": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

MCP server w/ Browser Use tools

Tool list not available yet

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP server w/ Browser Use?

MCP server w/ Browser Use is a Model Context Protocol server that wires the browser-use automation engine into Claude Desktop and other MCP-compatible clients. It exposes a single run_browser_agent tool that orchestrates a browser session, executes browser-use agent, and returns the result.

How to use MCP server w/ Browser Use?

Install by cloning the repository and running uv sync. Copy .env.example to .env and set your API keys and configuration values. Launch the server with uv run mcp-browser-use. For Claude Desktop, add the server to your MCP configuration with environment variables for the LLM provider and model.

Key features of MCP server w/ Browser Use

Automated browsing via natural-language instructions.
Agent lifecycle management with history export and error handling.
Centralized browser configuration using environment variables.
FastMCP integration for session cleanup and tool registration.
Client helpers for in-process testing with async Python.

Use cases of MCP server w/ Browser Use

Automate web interactions through MCP clients like Claude Desktop.
Perform form filling, navigation, and data extraction on websites.
Run headless browser tasks for testing or scraping.
Integrate browser automation into AI agent workflows.

Frequently asked questions

What dependencies are required?

Python 3.11+, Google Chrome or Chromium, and `uv` for dependency management.

How is the LLM configured?

Set environment variables `MCP_MODEL_PROVIDER`, `MCP_MODEL_NAME`, `MCP_TEMPERATURE`, `MCP_MAX_STEPS`, `MCP_MAX_ACTIONS_PER_STEP`, and `MCP_USE_VISION`. Provider-specific API keys (e.g., `ANTHROPIC_API_KEY`, `OPENAI_API_KEY`) are also required.

Where does browser data persist?

The browser session can use persistent profiles via `CHROME_PERSISTENT_SESSION` and supports proxies and custom Chromium flags.

Can I run tests?

Yes, use `uv run pytest` to run the unit tests covering agent behavior, browser session factory, and utility helpers.

What security considerations exist?

Controlling a full browser instance remotely can grant broad access to the host machine. Review the `SECURITY.md` documentation before exposing the server to untrusted environments.

Comments

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