How to integrate Turbot pipes MCP with Pydantic AI

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Introduction

This guide walks you through connecting Turbot pipes to Pydantic AI 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 Pydantic AI 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:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Turbot pipes
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Turbot pipes workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

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

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming

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 pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Turbot pipes
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Turbot pipes
  • MCPServerStreamableHTTP connects to the Turbot pipes MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Turbot pipes
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["turbot_pipes"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Turbot pipes tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
turbot_pipes_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[turbot_pipes_mcp],
    instructions=(
        "You are a Turbot pipes assistant. Use Turbot pipes tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Turbot pipes endpoint
  • The agent uses GPT-5 to interpret user commands and perform Turbot pipes operations
  • The instructions field defines the agent's role and behavior

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Turbot pipes.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Turbot pipes API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Turbot pipes
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["turbot_pipes"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    turbot_pipes_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[turbot_pipes_mcp],
        instructions=(
            "You are a Turbot pipes assistant. Use Turbot pipes tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Turbot pipes.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

Conclusion

You've built a Pydantic AI agent that can interact with Turbot pipes through Composio's Tool Router. With this setup, your agent can perform real Turbot pipes actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Turbot pipes for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

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 Pydantic AI?

Yes, you can. Pydantic AI 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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