How do i use langchain/langGraph with mcpo.

[Ulfzerk]

Hi!
I'm trying to learn a bit about mcp.
I did some toy example which are trival. Like:

import sys
from typing import Any, Dict
from mcp.server.fastmcp import FastMCP

mcp = FastMCP("Cats")
print("MCP Server initialized", file=sys.stderr)

@mcp.tool()
async def mcp_endpoint_cat_data()->Dict[str, Any]:
    """
    Fetch Cat data.
    Returns a mapping with name, species, and features.
    """
    return {
        'Name':'Lucyfier',
        'Animal':'Cat',
        'Features':['cute','fluffy','Green eyes']
    }
if __name__ == "__main__":
    # python main.py
    # else: # uvx mcpo --port 3001 -- python main.py
    print("Running MCP with stdio")
    mcp.run(transport="stdio")

and

from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_ollama import ChatOllama
from langgraph.prebuilt import create_react_agent
import asyncio

async def run_tool():
    llm = ChatOllama(model="mistral")
    client = MultiServerMCPClient(
        {
            "Cats": {
                "command": "python",
                # Make sure to update to the full absolute path to your math_server.py file
                "args": ["./mcp_servers/cats.py"],
                "transport": "stdio",
            },
        }
    )
    tools = await client.get_tools()
    print(tools)
    agent = create_react_agent(llm, tools)
    msg = r"""Provide me a name of cat. Keep format like {'name':'xxx'}
    Example Output:
    {'name':'yyy'}"""
    use_tool_msg = True
    if use_tool_msg:
        msg=msg+r"\n Use tools. Don't tell me how to do it."
    response = await agent.ainvoke({"messages": msg})
    
    for msg in response['messages']:
        print(msg.content)
        print("---\n")

asyncio.run(run_tool())

But it is just using native mcp capabilities.

How do i integrate langChain/langGraph with mcpo as it is a REST layer, but MultiServerMPClient takes only 'stdio','streamable_http','sse' as transport parameter?