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