How to integrate Turbot pipes MCP with Autogen

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Introduction

This guide walks you through connecting Turbot pipes to AutoGen using the Composio tool router. By the end, you'll have a working Turbot pipes agent that can show all recent activity logs for my account, list all workspaces i have access to, retrieve my current organization details, fetch all notification endpoints linked to me through natural language commands.

This guide will help you understand how to give your AutoGen agent real control over a Turbot pipes account through Composio's Turbot pipes MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Turbot pipes
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Turbot pipes tools
  • Run a live chat loop where you ask the agent to perform Turbot pipes operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

What is the Turbot pipes MCP server, and what's possible with it?

The Turbot pipes MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Turbot pipes account. It provides structured and secure access to your Turbot Pipes platform, so your agent can perform actions like retrieving activity logs, managing workspaces, exploring identities, viewing organizations, and handling notification endpoints on your behalf.

  • Activity monitoring and auditing: Ask your agent to fetch detailed activity logs for your account, helping you track user actions and audit changes across your Turbot Pipes environment.
  • Workspace and organization management: Retrieve and list all organizations and workspaces associated with your account to keep tabs on your team’s collaboration spaces and resources.
  • Identity exploration and avatar retrieval: Let your agent search identities, fetch details by handle, and even grab profile avatars—useful for user management and directory automation.
  • Notification endpoint discovery: Quickly list all user notifiers set up for your account, so you can manage or audit where and how notifications are delivered.
  • Account and connection insights: Access detailed information about the authenticated actor and their connections to maintain visibility and control over account access and linked integrations.

Supported Tools & Triggers

Tools
Get Authenticated ActorTool to retrieve the authenticated actor.
List Actor ActivityTool to list activities for the authenticated actor.
List actor connectionsTool to list connections associated with the authenticated actor.
List Actor OrganizationsTool to list organizations associated with the authenticated actor.
List Actor WorkspacesTool to list workspaces for the authenticated actor.
Start login via EmailTool to start login process by sending a confirmation code to a user's email.
Get IdentityTool to retrieve a specific identity by handle.
Get Identity AvatarTool to retrieve avatar image for an identity.
List IdentitiesTool to list all identities.
List User NotifiersTool to list all notifiers for a user.
Delete User TokenTool to delete a specific user token.
Get User TokenTool to retrieve details of a specific user token.

What is the Composio tool router, and how does it fit here?

What is Tool Router?

Composio's Tool Router helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Tool Router

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Tool Router works

The Tool Router follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Turbot pipes account you can connect to Composio
  • Some basic familiarity with Autogen and Python async

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Turbot pipes via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Turbot pipes connections to use

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Turbot pipes session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["turbot_pipes"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Turbot pipes tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Turbot pipes assistant agent with MCP tools
    agent = AssistantAgent(
        name="turbot_pipes_assistant",
        description="An AI assistant that helps with Turbot pipes operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Turbot pipes tools from the workbench

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Turbot pipes related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Turbot pipes tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Turbot pipes and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Turbot pipes session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["turbot_pipes"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Turbot pipes assistant agent with MCP tools
        agent = AssistantAgent(
            name="turbot_pipes_assistant",
            description="An AI assistant that helps with Turbot pipes operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Turbot pipes related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

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

Conclusion

You now have an Autogen assistant wired into Turbot pipes through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Turbot pipes, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

How to build Turbot pipes MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Turbot pipes MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Turbot pipes MCP with Claude Agent SDK

Google ADK

Google ADK

Use Turbot pipes MCP with Google ADK

LangChain

LangChain

Use Turbot pipes MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Turbot pipes MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Turbot pipes MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Turbot pipes MCP with LlamaIndex

CrewAI

CrewAI

Use Turbot pipes MCP with CrewAI

FAQ

What are the differences in Tool Router MCP and Turbot pipes MCP?

With a standalone Turbot pipes MCP server, the agents and LLMs can only access a fixed set of Turbot pipes tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Turbot pipes and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with Autogen?

Yes, you can. Autogen fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Turbot pipes tools.

Can I manage the permissions and scopes for Turbot pipes while using Tool Router?

Yes, absolutely. You can configure which Turbot pipes scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Turbot pipes data and credentials are handled as safely as possible.

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