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Simple example of using MCP client with browser-use.
This example shows how to connect to an MCP server and use its tools with an agent.
"""
import asyncio
import os
from browser_use import Agent, Tools
from browser_use.llm.openai.chat import ChatOpenAI
from browser_use.mcp.client import MCPClient
async def main():
# Initialize tools
tools = Tools()
# Connect to a filesystem MCP server
# This server provides tools to read/write files in a directory
mcp_client = MCPClient(
server_name='filesystem', command='npx', args=['@modelcontextprotocol/server-filesystem', os.path.expanduser('~/Desktop')]
)
# Connect and register MCP tools
await mcp_client.connect()
await mcp_client.register_to_tools(tools)
# Create agent with MCP-enabled tools
agent = Agent(
task='List all files on the Desktop and read the content of any .txt files you find',
llm=ChatOpenAI(model='gpt-4.1-mini'),
tools=tools,
)
# Run the agent - it now has access to filesystem tools
await agent.run()
# Disconnect when done
await mcp_client.disconnect()
if __name__ == '__main__':
asyncio.run(main())
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