How to integrate Nozbe Teams MCP with Pydantic AI

This guide walks you through connecting Nozbe Teams to Pydantic AI using the Composio tool router. By the end, you'll have a working Nozbe Teams agent that can create a new project called 'q3 planning', assign all overdue tasks to sarah, list incomplete tasks in marketing project through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Nozbe Teams account through Composio's Nozbe Teams MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Nozbe Teams logoNozbe Teams
Api Key

Nozbe Teams is a cloud-based task management tool for individuals and teams. It helps you organize, track, and manage all your group tasks in one place.

48 Tools

Introduction

This guide walks you through connecting Nozbe Teams to Pydantic AI using the Composio tool router. By the end, you'll have a working Nozbe Teams agent that can create a new project called 'q3 planning', assign all overdue tasks to sarah, list incomplete tasks in marketing project through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Nozbe Teams account through Composio's Nozbe Teams MCP server.

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

Also integrate Nozbe Teams with

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 Nozbe Teams
  • 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 Nozbe Teams 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 Nozbe Teams MCP server, and what's possible with it?

The Nozbe Teams MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Nozbe Teams account. It provides structured and secure access so your agent can perform Nozbe Teams operations on your behalf.

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

What is Composio SDK?

Composio's Composio SDK 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 Composio SDK

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

How the Composio SDK works

The Composio SDK 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

Step by step09 STEPS
1

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
2

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.
3

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 Nozbe Teams
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

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
5

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 Nozbe Teams
  • MCPServerStreamableHTTP connects to the Nozbe Teams MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

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 Nozbe Teams
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["nozbe_teams"],
    )
    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 Nozbe Teams 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
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
nozbe_teams_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[nozbe_teams_mcp],
    instructions=(
        "You are a Nozbe Teams assistant. Use Nozbe Teams tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Nozbe Teams endpoint
  • The agent uses GPT-5 to interpret user commands and perform Nozbe Teams operations
  • The instructions field defines the agent's role and behavior
8

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 Nozbe Teams.\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
  • Nozbe Teams API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

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 Nozbe Teams 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 Nozbe Teams
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["nozbe_teams"],
    )
    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
    nozbe_teams_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[nozbe_teams_mcp],
        instructions=(
            "You are a Nozbe Teams assistant. Use Nozbe Teams 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 Nozbe Teams.\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 Nozbe Teams through Composio's Tool Router. With this setup, your agent can perform real Nozbe Teams 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 + Nozbe Teams for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every Nozbe Teams action and event your agent gets out of the box.

Create Attachment

Tool to add attachment metadata to a comment.

Create Comment

Tool to add a comment to a task in Nozbe Teams.

Create Project Section

Tool to create a new project section in Nozbe Teams.

Create Reminder

Tool to add a reminder to a task in Nozbe Teams.

Create Tag Assignment

Tool to add a tag assignment to a task.

Create Task

Tool to create a new task in Nozbe Teams.

Create Team Member

Tool to add a team member in Nozbe Teams.

Create User

Tool to create a new placeholder user in Nozbe Teams.

Delete Comment

Tool to permanently delete a comment by its ID.

Delete Project

Tool to delete a project in Nozbe Teams by its ID.

Delete Reminder

Tool to delete a reminder by its unique ID.

Delete Tag Assignment

Tool to delete a tag assignment by its ID.

Delete Task

Tool to delete a task in Nozbe Teams by its ID.

Get Attachment

Tool to get attachment metadata by its ID.

Get Comment by ID

Tool to retrieve a comment by its ID from Nozbe Teams.

Get Project by ID

Tool to retrieve a project by its ID from Nozbe Teams.

Get Project Access

Tool to retrieve project access details by ID.

Get Project Section

Tool to retrieve a project section by ID from Nozbe Teams.

Get Reminder

Tool to get a reminder by ID from Nozbe Teams.

Get Tag

Tool to get a tag by ID from Nozbe Teams.

Get Tag Assignment

Tool to retrieve a tag assignment by its ID.

Get Task by ID

Tool to retrieve a task by its ID from Nozbe Teams.

Get Task Event

Tool to get a task event by ID.

Get Team by ID

Tool to retrieve a team by its ID from Nozbe Teams.

Get Team Member by ID

Tool to retrieve a team member by ID from Nozbe Teams.

Get User by ID

Tool to retrieve a user by their ID from Nozbe Teams.

List Comment Attachments

Tool to get all attachments related to a specific comment in Nozbe Teams.

List Comments

Tool to get accessible comments with optional filtering by task_id and pagination support.

List Group Assignments

Tool to get accessible group assignments from Nozbe Teams.

List Project Accesses

Tool to get accessible project accesses in Nozbe Teams.

List Project Groups

Tool to get accessible project groups from Nozbe Teams.

List Projects

Tool to retrieve accessible projects with optional filtering.

List Project Sections

Tool to retrieve accessible project sections with optional filtering.

List Reminders

Tool to get accessible reminders from Nozbe Teams.

List Tag Assignments

Tool to get accessible tag assignments with optional filtering by tag_id or task_id.

List Tags

Tool to get accessible tags from Nozbe Teams.

List Task Events

Tool to get accessible task events from Nozbe Teams.

List Tasks

Tool to retrieve accessible tasks from Nozbe Teams.

List Users

Tool to retrieve accessible users from Nozbe Teams.

Poll for new tasks

Tool to poll for new tasks created since the last call.

Poll Updated Tasks

Tool to poll for tasks that have been updated since the last call.

Update Comment

Tool to update an existing comment in Nozbe Teams.

Update Project

Tool to update a project in Nozbe Teams.

Update Project Access

Tool to update project access permissions in Nozbe Teams.

Update Task

Tool to update a task in Nozbe Teams.

Update Team

Tool to update a team in Nozbe Teams.

Update Team Member

Tool to update a team member in Nozbe Teams.

Update User

Tool to update a user in Nozbe Teams.

FAQ

Frequently asked questions

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

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 Nozbe Teams tools.

Yes, absolutely. You can configure which Nozbe Teams 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.

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 Nozbe Teams data and credentials are handled as safely as possible.

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