Browser Automation · MODEL CONTEXT PROTOCOL

MCP server Browser Use

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

连接能力

MCP server Browser Use 为 AI Agent 提供什么

  • **Browser Control**
  • Automated browser interactions via natural language
  • Navigation, form filling, clicking, and scrolling capabilities
  • Tab management and screenshot functionality
  • Cookie and state management
  • **Agent System**
  • Custom agent implementation in custom_agent.py
  • Vision-based element detection
  • Structured JSON responses for actions
  • Message history management and summarization
  • **Configuration**
  • Environment-based configuration for API keys and settings
  • Chrome browser settings (debugging port, persistence)
  • Model provider selection and parameters
  • Integration with browser-use library for advanced browser control
  • Custom browser automation capabilities
  • Agent-based interaction system with vision capabilities
  • Persistent state management
  • Customizable model settings
  • Operating Systems (Linux, macOS, Windows; we haven't tested for Docker or Microsoft WSL)
  • Python 3.11 or higher
  • uv (fast Python package installer)
  • Chrome/Chromium browser
  • [Claude Desktop](https://claude.ai/download)
  • Clone the repository:
  • Create and activate virtual environment:
  • Install dependencies:
  • Start the server
  • Navigation: Go to URLs, back/forward, refresh
  • Interaction: Click, type, scroll, hover
  • Forms: Fill forms, submit, select options
  • State: Get page content, take screenshots
  • Tabs: Create, close, switch between tabs
  • Vision: Find elements by visual appearance
  • Cookies & Storage: Manage browser state
  • Fork this repository.
  • Create your feature branch: `git checkout -b my-new-feature`.
  • Commit your changes: `git commit -m 'Add some feature'`.
  • Push to the branch: `git push origin my-new-feature`.
  • Submit a pull request.

安全

MCP 收录不等于安全审核

MCP 服务器可能获得模型上下文、凭据、本地文件或调用外部系统的权限。连接 Agent 前,请检查代码、环境变量、网络行为、软件包来源与维护状态。

README

仓库文档

MCP Browser Use Server

smithery badge

Model Context Protocol (MCP) server that wires browser-use into Claude Desktop and other MCP compatible clients.

Browser Use Server MCP server

Overview

This repository provides a beta MCP wrapper around the browser-use automation engine. It exposes a single MCP tool (run_browser_agent) that orchestrates a browser session, executes the browser-use agent, and returns the final result to the client. The layout keeps configuration in one place, makes security boundaries testable, and isolates upstream browser-use migrations from the MCP interface.

Key Capabilities

  • Automated browsing – Navigate, interact with forms, control tabs, capture screenshots, and read page content through natural-language instructions executed by browser-use.
  • Agent lifecycle management – CustomAgent wraps browser-use's base agent to add history export, richer prompts, and consistent error handling across runs.
  • Centralised browser configuration – create_browser_session translates environment variables into a ready-to-use BrowserSession, enabling persistent profiles, proxies, and custom Chromium flags without touching the agent logic.
  • FastMCP integration – server.py registers the MCP tool, normalises configuration, and ensures the browser session is always cleaned up.
  • Client helpers – client.py includes async helpers for tests or other Python processes that wish to exercise the MCP server in-process.

Project Structure

.
├── documentation/
│   ├── CONFIGURATION.md      # Detailed configuration reference
│   └── SECURITY.md           # Security considerations for running the server
├── sample.env.env           # Example environment variables for local development
├── src/mcp_browser_use/
│   ├── agent/                # Custom agent, prompts, message history, and views
│   ├── browser/              # Browser session factory and persistence helpers
│   ├── controller/           # Custom controller extensions for clipboard actions
│   ├── utils/                # LLM factory, agent state helpers, encoding utilities
│   ├── client.py             # Async helper for connecting to the FastMCP app
│   └── server.py             # FastMCP app and the `run_browser_agent` tool
└── tests/                    # Unit tests covering server helpers and agent features

Getting Started

Requirements

  • Python 3.11+
  • Google Chrome or Chromium (for local automation)
  • uv for dependency management (recommended)
  • Optional: Claude Desktop or another MCP-compatible client for integration testing

Installation

git clone https://github.com/JovaniPink/mcp-browser-use.git
cd mcp-browser-use
uv sync

Copy sample.env.env to .env (or export the variables another way) and update only the providers you plan to use. Never commit the populated .env file.

Launching the server

uv run mcp-browser-use

The command invokes the console script defined in pyproject.toml, starts the FastMCP application, and registers the run_browser_agent tool.

Using with Claude Desktop

Once the server is running you can register it inside Claude Desktop, for example:

"mcpServers": {
  "mcp_server_browser_use": {
    "command": "uvx",
    "args": ["mcp-browser-use"],
    "env": {
      "MCP_MODEL_PROVIDER": "anthropic",
      "MCP_MODEL_NAME": "claude-3-5-sonnet-20241022"
    }
  }
}

Debugging

For interactive debugging, use the MCP Inspector:

npx @modelcontextprotocol/inspector uv --directory /path/to/project run mcp-browser-use

The inspector prints a URL that can be opened in the browser to watch tool calls and responses in real time.

Configuration

A full list of environment variables and their defaults is available in documentation/CONFIGURATION.md. Highlights include:

  • MCP_MODEL_PROVIDER, MCP_MODEL_NAME, MCP_TEMPERATURE, MCP_MAX_STEPS, MCP_MAX_ACTIONS_PER_STEP, and MCP_USE_VISION control the LLM and agent run.
  • Provider-specific API keys and endpoints (ANTHROPIC_API_KEY, OPENAI_API_KEY, DEEPSEEK_API_KEY, GOOGLE_API_KEY, AZURE_OPENAI_API_KEY, etc.).
  • Browser runtime flags (BROWSER_USE_HEADLESS, BROWSER_USE_EXTRA_CHROMIUM_ARGS, CHROME_PERSISTENT_SESSION, BROWSER_USE_PROXY_URL, ...).

Use .env + python-dotenv or your preferred secrets manager to keep credentials out of source control.

Running Tests

uv run python -m pytest -q

The tests cover custom-agent behavior, browser configuration, MCP input limits, secret redaction, and utility helpers. A dependency update is not merge-ready merely because imports or unit tests pass; the resolved environment must also pass its dependency and security checks.

Security

Controlling a full browser instance remotely can grant broad access to the host machine. Review documentation/SECURITY.md before exposing the server to untrusted environments. The complete documentation map and active dependency decision record are in documentation/README.md.

The MCP tool trims and bounds task/context input before allocating a model or browser session. Runtime step limits are constrained, proxy settings are omitted from debug logs, and CDP endpoint values are redacted because they may contain credentials.

The Python 3.14/browser-use dependency migration remains held in #45 until upstream permits patched transitive versions. Do not force incompatible overrides or suppress the audit findings.

Contributing

  1. Fork the repository
  2. Create your feature branch: git checkout -b my-new-feature
  3. Commit your changes: git commit -m 'Add some feature'
  4. Push to the branch: git push origin my-new-feature
  5. Open a pull request

Bug reports and feature suggestions are welcome—please include logs and reproduction steps when applicable.

在 GitHub 查看 README

社区

收藏、评分与讨论

正在载入社区数据…