# How to integrate Microsoft To Do MCP with Pydantic AI ```json { "title": "How to integrate Microsoft To Do MCP with Pydantic AI", "toolkit": "Microsoft To Do", "toolkit_slug": "microsoft_todo", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/microsoft_todo/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/microsoft_todo/framework/pydantic-ai.md", "updated_at": "2026-07-28T11:13:30.103Z" } ``` ## Introduction This guide walks you through connecting Microsoft To Do to Pydantic AI using the Composio tool router. By the end, you'll have a working Microsoft To Do agent that can create task for tomorrow's expense report, list overdue tasks from all lists, add reminder to project checklist item through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Microsoft To Do account through Composio's Microsoft To Do MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Microsoft To Do with - [OpenAI Agents SDK](https://composio.dev/toolkits/microsoft_todo/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/microsoft_todo/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/microsoft_todo/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/microsoft_todo/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/microsoft_todo/framework/codex) - [OpenClaw](https://composio.dev/toolkits/microsoft_todo/framework/openclaw) - [Hermes](https://composio.dev/toolkits/microsoft_todo/framework/hermes-agent) - [Google ADK](https://composio.dev/toolkits/microsoft_todo/framework/google-adk) - [LangChain](https://composio.dev/toolkits/microsoft_todo/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/microsoft_todo/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/microsoft_todo/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/microsoft_todo/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/microsoft_todo/framework/crew-ai) - [AutoGen](https://composio.dev/toolkits/microsoft_todo/framework/autogen) ## 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 Microsoft To Do - 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 Microsoft To Do 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 Microsoft To Do MCP server, and what's possible with it? The Microsoft To Do MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Microsoft To Do account. It provides structured and secure access so your agent can perform Microsoft To Do operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `MICROSOFT_TODO_COMPLETE_TASK` | Complete Task | Mark a Microsoft To Do task as completed. Convenience wrapper that always PATCHes status='completed'; the server auto-sets completedDateTime. Use Update Task to reopen a task (status='notStarted') or to change other fields. | | `MICROSOFT_TODO_CREATE_CHECKLIST_ITEM` | Create Checklist Item | Add a checklist item (subtask) to a Microsoft To Do task. Only display_name is required; the created item is returned with a GUID id, displayName, isChecked, and createdDateTime. | | `MICROSOFT_TODO_CREATE_TASK` | Create Task | Create a task in a Microsoft To Do task list. Only title is required. Dates are passed as flat ISO-8601 strings plus a shared timezone; the tool builds the Graph dateTimeTimeZone objects. Notes are passed as body_content (+ body_content_type). NOTE: To Do treats due dates as whole days — the time component of due_date_time is normalized to midnight on save. | | `MICROSOFT_TODO_CREATE_TASK_LIST` | Create Task List | Create a new Microsoft To Do task list. | | `MICROSOFT_TODO_DELETE_CHECKLIST_ITEM` | Delete Checklist Item | Delete a checklist item (subtask) from a Microsoft To Do task. This permanently removes the checklist item (this cannot be undone). | | `MICROSOFT_TODO_DELETE_TASK` | Delete Task | Delete a task from a Microsoft To Do task list. WARNING: this also permanently removes the task's checklist items and linked resources. | | `MICROSOFT_TODO_DELETE_TASK_ATTACHMENT` | Delete Task Attachment | Permanently delete a file attachment from a Microsoft To Do task. This cannot be undone. | | `MICROSOFT_TODO_DELETE_TASK_LIST` | Delete Task List | Delete a Microsoft To Do task list. WARNING: this cascades — all tasks in the list and their checklist items are permanently deleted. | | `MICROSOFT_TODO_DOWNLOAD_TASK_ATTACHMENT` | Download Task Attachment | Download one file attached to a Microsoft To Do task. The file is offloaded to storage and returned as a downloadable reference rather than inline base64. | | `MICROSOFT_TODO_GET_CHECKLIST_ITEM` | Get Checklist Item | Get a single Microsoft To Do checklist item (subtask) by its id, within a task in a task list. | | `MICROSOFT_TODO_GET_CURRENT_USER` | Get Current User | Return the profile of the Microsoft account connected to this toolkit (whoami / connection verification). Useful to confirm which mailbox the To Do tasks belong to before other operations. | | `MICROSOFT_TODO_GET_TASK` | Get Task | Get a single Microsoft To Do task by its id, within a task list. Set include_checklist_items=true to expand its checklist items inline. | | `MICROSOFT_TODO_GET_TASK_ATTACHMENT` | Get Task Attachment | Get metadata for one file attached to a Microsoft To Do task. Use Download Task Attachment to retrieve the file contents. | | `MICROSOFT_TODO_GET_TASK_LIST` | Get Task List | Get a single Microsoft To Do task list by its id. | | `MICROSOFT_TODO_LIST_CHECKLIST_ITEMS` | List Checklist Items | List the checklist items (subtasks) of a To Do task. Auto-paginates so all subtasks are returned at once as {items: [...]}. | | `MICROSOFT_TODO_LIST_TASK_ATTACHMENTS` | List Task Attachments | List the files attached to a Microsoft To Do task. Returns attachment metadata without file contents, one page at a time, plus a next_cursor. | | `MICROSOFT_TODO_LIST_TASK_LISTS` | List Task Lists | List the To Do task lists owned by the connected user. The built-in default list has wellknown_list_name='defaultList'; user-created lists have wellknown_list_name='none'. Always returns at least the default list. Select the default list by id or wellknown_list_name, never by the localized display_name. | | `MICROSOFT_TODO_LIST_TASKS` | List Tasks | List the tasks in a To Do task list. Checklist items (subtasks) are NOT returned by default; set include_checklist_items=true to expand them inline. Returns one page of tasks plus a next_cursor for the next page. | | `MICROSOFT_TODO_UPDATE_CHECKLIST_ITEM` | Update Checklist Item | Update a checklist item (subtask) of a Microsoft To Do task: rename it (display_name) and/or check/uncheck it (is_checked). Partial update: only the fields you pass are changed; at least one is required. Setting is_checked=true marks the subtask done. | | `MICROSOFT_TODO_UPDATE_TASK` | Update Task | Update fields of an existing Microsoft To Do task (title, notes, importance, status, due/start/reminder dates, categories). Partial update: only the fields you pass are changed; unset fields are left untouched. To mark a task done set status='completed' (or use the dedicated Complete Task tool). | | `MICROSOFT_TODO_UPDATE_TASK_LIST` | Update Task List | Rename a Microsoft To Do task list (updates its displayName). | | `MICROSOFT_TODO_UPLOAD_TASK_ATTACHMENT` | Upload Task Attachment | Attach a file up to 25 MB to a Microsoft To Do task. The tool automatically uses a single request for files under 3 MB and a chunked upload session for larger files. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Microsoft To Do MCP server is an implementation of the Model Context Protocol that connects your AI agent to Microsoft To Do. It provides structured and secure access so your agent can perform Microsoft To Do operations on your behalf through a secure, permission-based interface. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 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 ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies Install the required libraries. What's happening: - composio connects your agent to external SaaS tools like Microsoft To Do - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables 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 ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to Microsoft To Do - MCPServerStreamableHTTP connects to the Microsoft To Do MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```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() ``` ### 5. Create a Tool Router Session What's happening: - We're creating a Tool Router session that gives your agent access to Microsoft To Do 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 ```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 Microsoft To Do composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["microsoft_todo"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the Microsoft To Do endpoint - The agent uses GPT-5 to interpret user commands and perform Microsoft To Do operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent microsoft_todo_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[microsoft_todo_mcp], instructions=( "You are a Microsoft To Do assistant. Use Microsoft To Do tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - Microsoft To Do API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```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 Microsoft To Do.\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() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```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 Microsoft To Do composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["microsoft_todo"], ) 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 microsoft_todo_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[microsoft_todo_mcp], instructions=( "You are a Microsoft To Do assistant. Use Microsoft To Do 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 Microsoft To Do.\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 Microsoft To Do through Composio's Tool Router. With this setup, your agent can perform real Microsoft To Do 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 + Microsoft To Do 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 Microsoft To Do MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/microsoft_todo/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/microsoft_todo/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/microsoft_todo/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/microsoft_todo/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/microsoft_todo/framework/codex) - [OpenClaw](https://composio.dev/toolkits/microsoft_todo/framework/openclaw) - [Hermes](https://composio.dev/toolkits/microsoft_todo/framework/hermes-agent) - [Google ADK](https://composio.dev/toolkits/microsoft_todo/framework/google-adk) - [LangChain](https://composio.dev/toolkits/microsoft_todo/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/microsoft_todo/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/microsoft_todo/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/microsoft_todo/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/microsoft_todo/framework/crew-ai) - [AutoGen](https://composio.dev/toolkits/microsoft_todo/framework/autogen) ## Related Toolkits - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place. - [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place. - [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place. - [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives. - [Boxhero](https://composio.dev/toolkits/boxhero) - Boxhero is a cloud-based inventory management platform for SMBs, offering real-time updates, barcode scanning, and team collaboration. It helps businesses streamline stock tracking and analytics for smarter inventory decisions. - [Breathe HR](https://composio.dev/toolkits/breathehr) - Breathe HR is cloud-based HR software for SMEs to manage employee data, absences, and performance. It simplifies HR admin, making it easy to keep employee records accurate and up to date. - [Breeze](https://composio.dev/toolkits/breeze) - Breeze is a project management platform designed to help teams plan, track, and collaborate on projects. It streamlines workflows and keeps everyone on the same page. - [Bugherd](https://composio.dev/toolkits/bugherd) - Bugherd is a visual feedback and bug tracking tool for websites. It helps teams and clients report website issues directly on live sites for faster fixes. - [Canny](https://composio.dev/toolkits/canny) - Canny is a platform for managing customer feedback and feature requests. It helps teams prioritize product decisions based on real user insights. - [Chmeetings](https://composio.dev/toolkits/chmeetings) - Chmeetings is a church management platform for events, members, donations, and volunteers. It streamlines church operations and improves community engagement. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Microsoft To Do MCP? With a standalone Microsoft To Do MCP server, the agents and LLMs can only access a fixed set of Microsoft To Do tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Microsoft To Do 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 Microsoft To Do tools. ### Can I manage the permissions and scopes for Microsoft To Do while using Tool Router? Yes, absolutely. You can configure which Microsoft To Do 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 Microsoft To Do data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)