About
Browser MCP Server wraps browser-use to give AI assistants control over a real web browser for automation tasks including navigation, form interaction, and data extraction. Key features: - Automates browser actions like navigating pages, filling forms, clicking buttons, and extracting structured data - HTTP-based transport designed for long-running operations (30-120+ seconds) that avoids stdio timeout issues common with browser automation - Web UI dashboard for monitoring task execution, viewing logs, and checking server health in real-time - Deep research capabilities for comprehensive information gathering workflows - Skills system for creating reusable browser automation patterns - Requires an LLM API key (e.g., Gemini) to power the browser agent's decision-making - Built on Playwright with Chromium browser support
README
mcp-server-browser-use
MCP server that gives AI assistants the power to control a web browser.
[](LICENSE)
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Table of Contents
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What is this?
This wraps browser-use as an MCP server, letting Claude (or any MCP client) automate a real browser—navigate pages, fill forms, click buttons, extract data, and more.
Why HTTP instead of stdio?
Browser automation tasks take 30-120+ seconds. The standard MCP stdio transport has timeout issues with long-running operations—connections drop mid-task. HTTP transport solves this by running as a persistent daemon that handles requests reliably regardless of duration.
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Installation
Claude Code Plugin (Recommended)
Install as a Claude Code plugin for automatic setup:
# Install the plugin
/plugin install browser-use/mcp-browser-use
The plugin automatically:
Set your API key (the browser agent needs an LLM to decide actions):
# Set API key (environment variable - recommended)
export GEMINI_API_KEY=your-key-hereOr use config file
mcp-server-browser-use config set -k llm.api_key -v your-key-here
That's it! Claude can now use browser automation tools.
Manual Installation
For other MCP clients or standalone use:
# Clone and install
git clone https://github.com/Saik0s/mcp-browser-use.git
cd mcp-server-browser-use
uv syncInstall browser
uv run playwright install chromiumStart the server
uv run mcp-server-browser-use server
Add to Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"browser-use": {
"type": "streamable-http",
"url": "http://localhost:8383/mcp"
}
}
}
For MCP clients that don't support HTTP transport, use mcp-remote as a proxy:
{
"mcpServers": {
"browser-use": {
"command": "npx",
"args": ["mcp-remote", "http://localhost:8383/mcp"]
}
}
}
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Web UI
Access the task viewer at http://localhost:8383 when the daemon is running.
Features:
The web UI provides visibility into browser automation tasks without requiring CLI commands.
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Web Dashboard
Access the full-featured dashboard at http://localhost:8383/dashboard when the daemon is running.
Features:
Key Capabilities:
The dashboard provides a comprehensive web interface for managing all aspects of browser automation without CLI commands.
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Configuration
Settings are stored in ~/.config/mcp-server-browser-use/config.json.
View current config:
mcp-server-browser-use config view
Change settings:
mcp-server-browser-use config set -k llm.provider -v openai
mcp-server-browser-use config set -k llm.model_name -v gpt-4o
Note: Set API keys via environment variables (e.g., ANTHROPIC_API_KEY) for better security
mcp-server-browser-use config set -k llm.api_key -v sk-...
mcp-server-browser-use config set -k browser.headless -v false
mcp-server-browser-use config set -k agent.max_steps -v 30
Settings Reference
| Key | Default | Description |
|-----|---------|-------------|
| llm.provider | google | LLM provider (anthropic, openai, google, azure_openai, groq, deepseek, cerebras, ollama, bedrock, browser_use, openrouter, vercel) |
| llm.model_name | gemini-3-flash-preview | Model for the browser agent |
| llm.api_key | - | API key for the provider (prefer env vars: GEMINI_API_KEY, ANTHROPIC_API_KEY, etc.) |
| browser.headless | true | Run browser without GUI |
| browser.cdp_url | - | Connect to existing Chrome (e.g., http://localhost:9222) |
| browser.user_data_dir | - | Chrome profile dire
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