Uses .env files to manage configuration settings including API keys for secure environment variable management
Leverages OpenAI's GPT models to interpret natural language commands for browser automation tasks
Handles dependency management and packaging for the MCP server
Provides the runtime environment for the MCP server application
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Serversearch for flights from New York to London next week"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Server
MCP (Machine Control Protocol) Server that provides browser automation capabilities through a simple API.
Description
This server creates an API endpoint that allows you to run browser automation tasks using natural language commands. It utilizes:
FastMCP: For creating a simple API server
browser-use: For browser automation capabilities
OpenAI's GPT models: To interpret natural language commands
Related MCP server: browser-use MCP server
Prerequisites
Python 3.11+
Poetry for dependency management
OpenAI API key
Setup
1. Install dependencies
poetry install2. Configure environment variables
Create a .env file in the root directory with:
OPENAI_API_KEY=your_openai_api_key_hereRun
poetry run python main.pyThe server will start with SSE (Server-Sent Events) transport on the default port.
Features
Browser Automation
Use the /run_browser_task endpoint to execute browser automation tasks using natural language. For example:
This server cannot be installed
Resources
Looking for Admin?
Admins can modify the Dockerfile, update the server description, and track usage metrics. If you are the server author, to access the admin panel.