[Python] Error KeyError: 'transport' while trying to get mcp tools from MultiServerMCPClient

I am trying to use airbnb mcp as a tool in my langgraph agent. I am using MultiServerMCPClient. Below is my code.

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import AzureChatOpenAI
from langchain_openai import ChatOpenAI
from src.mcp_use.adapters.langchain_adapter import LangChainAdapter
from dotenv import load_dotenv
import json
import asyncio
from mcp_use import MCPAgent, MCPClient

load_dotenv()
async def main():
config = {
"mcpServers": {
"airbnb": {
"command": "npx",
"args": ["-y", "@openbnb/mcp-server-airbnb", "--ignore-robots-txt"]
}
}
}
# Create MCPClient from configuration dictionary
client = MultiServerMCPClient(
connections= config
)
tools = await client.get_tools()
# the get_tools() method returns a list of tools from all the connected servers
print(f" _tools is {tools}")
llm = AzureChatOpenAI(
temperature=0,
api_version="2024-12-01-preview",
azure_deployment="gpt-4o"
)


#agent = MCPAgent(llm=llm, client=client, max_steps=30)

agent = create_react_agent(model=llm,
tools= tools,
name="agenttool" ,
prompt="you are a assistant with tool airbnb . use tool and do not answer by your self")
async for chunk in agent.astream(
{"messages": [{"role": "user", "content": "show me the top 5 hotels in San Francisco "}]}
):
print(chunk)

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


While running the code I am getting the following error:

transport = connection["transport"]
~~~~~~~~~~^^^^^^^^^^^^^
KeyError: 'transport'


However the same airbnb mcp config works when using the MCPAgent and MCPClient from mcp_use. Any guidance on how to use mcp using the MultiServerMCPClient for langraph is appreciated.

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