How to integrate One drive MCP with Pydantic AI

This guide walks you through connecting One drive to Pydantic AI using the Composio tool router. By the end, you'll have a working One drive agent that can share project folder with your team, download the latest version of report.docx, check who can access budget.xlsx through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a One drive account through Composio's One drive MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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OneDrive is Microsoft’s cloud storage for storing, syncing, and sharing files across devices. Access your files securely anywhere with real-time collaboration and offline support.

60 Tools9 Triggers

Introduction

This guide walks you through connecting One drive to Pydantic AI using the Composio tool router. By the end, you'll have a working One drive agent that can share project folder with your team, download the latest version of report.docx, check who can access budget.xlsx through natural language commands.

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

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

Also integrate One drive with

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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 One drive
  • 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 One drive 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 One drive MCP server, and what's possible with it?

The One drive MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your OneDrive account. It provides structured and secure access to your cloud files and folders, so your agent can perform actions like uploading documents, sharing files, managing storage, and retrieving version histories on your behalf.

  • File and folder management: Effortlessly copy, move, or delete files and folders, keeping your OneDrive organized with just a prompt.
  • Easy sharing and collaboration: Instantly generate secure sharing links for documents or folders, making collaboration with others seamless.
  • File download and preview: Have your agent fetch files or retrieve visual thumbnails for quick previews and streamlined access.
  • Access control and permissions review: Check who can view or edit any file or folder, and manage sharing permissions without manual clicks.
  • Version tracking and quota monitoring: Retrieve version histories for files and monitor your storage quota to stay on top of changes and space usage.

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 One drive
  • 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 One drive
  • MCPServerStreamableHTTP connects to the One drive 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 One drive
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["one_drive"],
    )
    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 One drive 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
one_drive_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[one_drive_mcp],
    instructions=(
        "You are a One drive assistant. Use One drive tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the One drive endpoint
  • The agent uses GPT-5 to interpret user commands and perform One drive 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 One drive.\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
  • One drive 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 One drive 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 One drive
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["one_drive"],
    )
    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
    one_drive_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[one_drive_mcp],
        instructions=(
            "You are a One drive assistant. Use One drive 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 One drive.\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 One drive through Composio's Tool Router. With this setup, your agent can perform real One drive 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 + One drive 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 & TRIGGERS

Supported Tools and Triggers

Every One drive action and event your agent gets out of the box.

Check In Drive Item

Tool to check in a checked out driveItem resource, making the version of the document available to others.

Checkout Drive Item

Tool to check out a driveItem to prevent others from editing it and make your changes invisible until checked in.

Copy Item

Tool to copy a DriveItem (file or folder) to a new location asynchronously.

Create Drive Item Permission

Tool to create a new permission on a OneDrive drive item.

Create Sharing Link

Tool to create a sharing link for a DriveItem (file or folder) by its unique ID.

Delete Item

Tool to delete a DriveItem (file or folder) by its unique ID from the authenticated user's OneDrive.

Permanently Delete Drive Item

Tool to permanently delete a driveItem by its ID without moving it to the recycle bin.

Delete Drive Item Permission

Tool to delete a permission from a drive item.

Delete Shares Permission

Tool to delete the permission navigation property for a shared drive item.

Discard Checkout

Tool to discard the checkout of a driveItem, releasing it and discarding any changes made while checked out.

Download a file

Downloads a file from a user's OneDrive using its item ID, which must refer to a file and not a folder.

Download file by path

Downloads the contents of a file from OneDrive by its path.

Download item as format

Tool to download the contents of a driveItem converted to a specific format (e.

Download Drive Item Version Content

Tool to download the contents of a specific previous version of a drive item (file).

Follow Drive Item

Tool to follow a driveItem (file or folder) in OneDrive or SharePoint.

Get Drive

Retrieves the properties and relationships of a Drive resource by its unique ID.

Get DriveItem by Sharing URL

Tool to resolve a OneDrive/SharePoint sharing URL (or shareId) to a DriveItem with driveId and itemId.

Get Drives Following

Tool to retrieve a specific followed driveItem from a drive.

Get Group Drive

Tool to retrieve the document library (drive) for a Microsoft 365 group.

Get Item Metadata

Retrieves the metadata of a DriveItem by its unique ID.

Get Item Permissions

Retrieves the permissions of a DriveItem by its unique ID within a specific Drive.

Get Item Thumbnails

Tool to retrieve the thumbnails associated with a DriveItem.

Get Item Versions

Tool to retrieve the version history of a DriveItem by its unique ID.

Get Recent Items

Get files and folders recently accessed by the user.

Get Drive Root Folder

Tool to retrieve metadata for the root folder of the signed-in user's OneDrive.

Get Shared Item by ShareId

Tool to access a shared DriveItem or collection of shared items using a shareId or encoded sharing URL.

Get Shared Items

Tool to retrieve items shared with the authenticated user (not items the user has shared with others).

Get SharePoint List Items

Tool to get the items (list items) within a specific SharePoint list on a site.

Get Site Details

Retrieves metadata for a specific SharePoint site by its ID.

Get SharePoint Site Page Content

Gets the content of a modern SharePoint site page.

Get Drive Special Folder

Tool to retrieve a special folder in OneDrive by name.

Grant Shares Permission

Tool to grant users access to a link represented by a permission using an encoded sharing URL.

Invite User to Drive Item

Tool to invite users or grant permissions to a specific item in a OneDrive drive.

List Drive Activities

Tool to retrieve recent activities on the authenticated user's OneDrive.

List Drive Bundles

Tool to retrieve a list of bundle resources from a specified drive.

List Drives

Tool to retrieve a list of Drive resources available to the authenticated user, or for a specific user, group, or site.

List Folder Children

List the direct children (files/folders) of a OneDrive/SharePoint folder by DriveItem ID or path.

List Drive Item Activities

Tool to list recent activities for a specific item in a OneDrive drive.

List Root Drive Changes

Tool to list changes in the root of the user's primary drive using a delta token.

List Shares Permission

Tool to retrieve permission details for a shared OneDrive or SharePoint item using a share ID.

List SharePoint List Items Delta

Tool to track changes to items in a SharePoint list using a delta query.

List Site Columns

Tool to list all column definitions for a SharePoint site.

List Site Drive Items Delta

Tool to track changes to DriveItems in the default document library of a SharePoint site.

List Site Lists

Tool to list all lists under a specific SharePoint site.

List Site Subsites

Tool to list all subsites of a SharePoint site.

List Subscriptions

Tool to list the current subscriptions for the authenticated user or app.

Move Item

Tool to move a file or folder to a new parent folder in OneDrive.

Create folder

Creates a new folder in the user's OneDrive, automatically renaming on conflict, optionally within a specified parent_folder (by ID or full path from root) which, if not the root, must exist and be accessible.

Create a new text file

Creates a new plain-text file with specified content in the authenticated user's personal OneDrive, using either the folder's unique ID or its absolute path relative to the user's OneDrive root (paths are automatically resolved to IDs); note that OneDrive may rename or create a new version if the filename already exists.

Find Item

Non-recursively finds an item (file or folder) in a specified OneDrive folder; if `folder` is provided as a path, it must actually exist.

Find Folder

Finds folders by name within an accessible parent folder in OneDrive, or lists all its direct child folders if no name is specified.

List OneDrive items

Retrieves all files and folders as `driveItem` resources from the root of a specified user's OneDrive, automatically handling pagination.

Upload file

Uploads a file to a specified OneDrive folder, automatically creating the destination folder if it doesn't exist, renaming on conflict, and supporting large files via chunking.

Preview Drive Item

Generates or retrieves a short-lived, permission-bound embeddable URL for a preview of a specific item.

Restore Deleted Item

Tool to restore a deleted OneDrive driveItem (file or folder) from the recycle bin.

Search Items

Search OneDrive for files and folders by keyword.

Delete Drive Following

Tool to unfollow a driveItem by removing it from the user's followed items collection.

Update Drive Item Metadata

Tool to update the metadata of a specific item (file or folder) in OneDrive.

Update Drive Item Permissions

Tool to update the roles of an existing permission on a OneDrive drive item.

Update File Content

Tool to create an upload session for updating an existing file's content in OneDrive.

FRAMEWORKS

How to build One drive MCP Agent with another framework

ChatGPT logo

ChatGPT

Use One drive MCP with ChatGPT

OpenAI Agents SDK logo

OpenAI Agents SDK

Use One drive MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use One drive MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use One drive MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use One drive MCP with Claude Cowork

Codex logo

Codex

Use One drive MCP with Codex

Cursor logo

Cursor

Use One drive MCP with Cursor

OpenClaw logo

OpenClaw

Use One drive MCP with OpenClaw

Hermes logo

Hermes

Use One drive MCP with Hermes

CLI logo

CLI

Use One drive MCP with CLI

Google ADK logo

Google ADK

Use One drive MCP with Google ADK

LangChain logo

LangChain

Use One drive MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use One drive MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use One drive MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use One drive MCP with LlamaIndex

CrewAI logo

CrewAI

Use One drive MCP with CrewAI

OpenCode logo

OpenCode

Use One drive MCP with OpenCode

VS Code logo

VS Code

Use One drive MCP with VS Code

FAQ

Frequently asked questions

With a standalone One drive MCP server, the agents and LLMs can only access a fixed set of One drive tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from One drive 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 One drive tools.

Yes, absolutely. You can configure which One drive 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 One drive data and credentials are handled as safely as possible.

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A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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