Introduction

import asyncio
from mcp_agent.app import MCPApp
from mcp_agent.agents.agent import Agent
from mcp_agent.workflows.llm.augmented_llm_openai import OpenAIAugmentedLLM

app = MCPApp(name="finder_agent")

async def main():
    async with app.run() as mcp_agent_app:
        # Create an agent with access to fetch and filesystem servers
        finder_agent = Agent(
            name="finder",
            instruction="You can read local files or fetch URLs. Return the requested information when asked.",
            server_names=["fetch", "filesystem"]
        )

        async with finder_agent:
            # Attach an LLM to the agent
            llm = await finder_agent.attach_llm(OpenAIAugmentedLLM)

            # Ask the agent to read a file
            result = await llm.generate_str("Show me what's in README.md")
            print(result)

            # Multi-turn conversation
            result = await llm.generate_str("Summarize that in a tweet")
            print(result)

if __name__ == "__main__":
    asyncio.run(main())