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| # Create server parameters for stdio connection | |
| import asyncio | |
| import os | |
| from langchain_mcp_adapters.tools import load_mcp_tools | |
| from langchain_openai import ChatOpenAI | |
| from langgraph.prebuilt import create_react_agent | |
| from mcp import ClientSession | |
| from mcp.client.sse import sse_client | |
| async def main(): | |
| model = ChatOpenAI(model="gpt-4o", api_key="sk-12") | |
| async with sse_client(url="http://localhost:4000/mcp/") as (read, write): | |
| async with ClientSession(read, write) as session: | |
| # Initialize the connection | |
| print("Initializing session") | |
| await session.initialize() | |
| print("Session initialized") | |
| # Get tools | |
| print("Loading tools") | |
| tools = await load_mcp_tools(session) | |
| print("Tools loaded") | |
| print(tools) | |
| # # Create and run the agent | |
| # agent = create_react_agent(model, tools) | |
| # agent_response = await agent.ainvoke({"messages": "what's (3 + 5) x 12?"}) | |
| # Run the async function | |
| if __name__ == "__main__": | |
| asyncio.run(main()) | |