여러 MCP 서버에 연결하기

from crewai import Agent, Task, Crew, Process
from crewai_tools import MCPServerAdapter
from mcp import StdioServerParameters # Needed for Stdio example

# 여러 MCP 서버의 파라미터 정의
server_params_list = [
    # Streamable HTTP 서버
    {
        "url": "http://localhost:8001/mcp", 
        "transport": "streamable-http"
    },
    # SSE 서버
    {
        "url": "http://localhost:8000/sse",
        "transport": "sse"
    },
    # StdIO 서버
    StdioServerParameters(
        command="python3",
        args=["servers/your_stdio_server.py"],
        env={"UV_PYTHON": "3.12", **os.environ},
    )
]

try:
    with MCPServerAdapter(server_params_list) as aggregated_tools:
        print(f"Available aggregated tools: {[tool.name for tool in aggregated_tools]}")

        multi_server_agent = Agent(
            role="Versatile Assistant",
            goal="Utilize tools from local Stdio, remote SSE, and remote HTTP MCP servers.",
            backstory="An AI agent capable of leveraging a diverse set of tools from multiple sources.",
            tools=aggregated_tools, # All tools are available here
            verbose=True,
        )

        ... # Your other agent, tasks, and crew code here

except Exception as e:
    print(f"Error connecting to or using multiple MCP servers (Managed): {e}")
    print("Ensure all MCP servers are running and accessible with correct configurations.")