How do i connect to MCP?

[karim1007]

import asyncio
from contextlib import asynccontextmanager
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agentimport os
from whatsapp import create_whatsapp_graph
from dotenv import load_dotenv
from langchain_together import ChatTogether
from langgraph_supervisor import create_supervisor

# Load environment variables
load_dotenv()



# Initialize the model
model = ChatTogether(
    model="meta-llama/Llama-3.3-70B-Instruct-Turbo-Free",
    api_key=os.getenv("TOGETHER_API_KEY")
)


@asynccontextmanager
async def create_whatsapp_graph():
    logger.info("Initializing WhatsApp MCP client")
    try:
        async with MultiServerMCPClient(
            {
                "whatsapp": {
                    "command": "C:\\Users\\PC\\AppData\\Local\\Programs\\Python\\Python310\\Scripts\\uv.exe",
                    "args": ["--directory", "C:\\Users\\PC\\Desktop\\test\\whatsapp-mcp\\whatsapp-mcp-server", "run", "main.py"],
                    "transport": "stdio",
                }
            }
        ) as client:
            logger.info("MCP client connection established")
            # Create the agent with MCP tools
            agent = create_react_agent(model, client.get_tools(),name="whatsapp")
            logger.info("React agent created successfully")
            yield agent
    except Exception as e:
        logger.error(f"Error in WhatsApp graph creation: {str(e)}", exc_info=True)
        raise









async def setup_supervised_workflow():
    """Set up and return the supervised workflow with all agents"""
    try:
        # Initialize all agents
        learning_planner = create_learning_planner_graph()
        logger.info("Learning planner agent initialized")

        async with create_whatsapp_graph() as whatsapp_agent, \
                 
            
            # Create the supervisor workflow
            workflow = create_supervisor(
                [whatsapp_agent],
                model=model,
                prompt=(
                    "You are a team supervisor managing 1 specialized agent:\n"
                   
                    "1. whatsapp_agent: For handling WhatsApp messaging\n"
               
            
                    "- Use whatsapp_agent for sending messages and managing WhatsApp communications\n"
                ),
                output_mode="full_history"  # Keep full conversation history
            )

            # Compile the workflow
            app = workflow.compile()
            logger.info("Supervisor workflow compiled successfully")
            
            return app

    except Exception as e:
        logger.error(f"Error setting up supervised workflow: {str(e)}", exc_info=True)
        raise

async def main():
    try:
        # Set up the supervised workflow
        app = await setup_supervised_workflow()
        logger.info("Supervised workflow initialized")

        # Example of how to use the supervised workflow
        result = await app.ainvoke({
            "messages": [
                {
                    "role": "system",
                    "content": "You are a helpful assistant that coordinates between calendar, WhatsApp agents"
                },
                {
                    "role": "user",
                    "content": "send a message to +xxx saying 'we made it!'"
                }
            ]
        })
        print(result)  # Print the result of the workflow invocation
        # Keep the application running
        await asyncio.Event().wait()
        
    except KeyboardInterrupt:
        logger.info("Application terminated by user")
    except Exception as e:
        logger.error(f"Application error: {str(e)}", exc_info=True)

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

when I invoke the whatsapp agent alone it works and sends the message but when I try to use it with a supervisor agent it cannot even recall the tools that it has; it hallucinates fake tools
FYI: I tried it out with multiple mcp servers (google calendar , SQL. etc...)

[MrCsabaToth]

Are you sure the tool names and description come through properly from the MCP server?

[karim1007]

@MrCsabaToth yes , I have 3 MCPs implemented the same way and they work (individually)

[karim1007]

I am trying to produce a langsmith trace but everytime I try to log in I get kicked out for no reason

[hinthornw]

This doesn't seem to be an issue with langgraph-supervisor. Converting to discussion

[karim1007]

I've been stuck on this for a week, can you try to run an mcp agent and a supervisor and tell me the results?

[hinthornw]

Added to my TODOs but not sure I'll get around to it for a while

[karim1007]

Ok, I will be waiting for your reply, will also try it out and update you if it works

[Rafaelca70x]

Hello! I'm experiencing the same issue. I built my chatbot using this supervisor and connected it to the MCP tools server. According to Langsmith, the tools are recognized by the LLM. However, my system only responds with the supervisor saying "I am the supervisor. How can I help you?". Even when I force the use of a tool, it doesn't work. @karim1007 , have you tested the tools without being on the MCP server?