# How to integrate Microsoft To Do MCP with Autogen ```json { "title": "How to integrate Microsoft To Do MCP with Autogen", "toolkit": "Microsoft To Do", "toolkit_slug": "microsoft_todo", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/microsoft_todo/framework/autogen", "markdown_url": "https://composio.dev/toolkits/microsoft_todo/framework/autogen.md", "updated_at": "2026-07-28T11:13:30.103Z" } ``` ## Introduction This guide walks you through connecting Microsoft To Do to AutoGen 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 AutoGen 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) - [Pydantic AI](https://composio.dev/toolkits/microsoft_todo/framework/pydantic-ai) ## 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 Microsoft To Do - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Microsoft To Do tools - Run a live chat loop where you ask the agent to perform Microsoft To Do 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 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 agents and assistants directly to Microsoft To Do. Instead of manually wiring Microsoft To Do APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely. 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 You will need: - A Composio API key - An OpenAI API key (used by Autogen's OpenAIChatCompletionClient) - A Microsoft To Do account you can connect to Composio - Some basic familiarity with Autogen and Python async ### 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 Composio, Autogen extensions, and dotenv. What's happening: - composio connects your agent to Microsoft To Do via MCP - autogen-agentchat provides the AssistantAgent class - autogen-ext-openai provides the OpenAI model client - autogen-ext-tools provides MCP workbench support ```bash pip install composio python-dotenv pip install autogen-agentchat autogen-ext-openai autogen-ext-tools ``` ### 3. Set up environment variables 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 Microsoft To Do connections to use ```bash COMPOSIO_API_KEY=your-composio-api-key OPENAI_API_KEY=your-openai-api-key USER_ID=your-user-identifier@example.com ``` ### 4. Import dependencies and create Tool Router session What's happening: - load_dotenv() reads your .env file - Composio(api_key=...) initializes the SDK - create(...) creates a Tool Router session that exposes Microsoft To Do tools - session.mcp.url is the MCP endpoint that Autogen will connect to ```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 Microsoft To Do session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["microsoft_todo"] ) url = session.mcp.url ``` ### 5. Configure MCP parameters for Autogen 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 ```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")} ) ``` ### 6. Create the model client and agent What's happening: - OpenAIChatCompletionClient wraps the OpenAI model for Autogen - McpWorkbench connects the agent to the MCP tools - AssistantAgent is configured with the Microsoft To Do tools from the workbench ```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 Microsoft To Do assistant agent with MCP tools agent = AssistantAgent( name="microsoft_todo_assistant", description="An AI assistant that helps with Microsoft To Do operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) ``` ### 7. Run the interactive chat loop What's happening: - The script prompts you in a loop with You: - Autogen passes your input to the model, which decides which Microsoft To Do 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 ```python print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Microsoft To Do 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") ``` ## Complete Code ```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 Microsoft To Do session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["microsoft_todo"] ) 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 Microsoft To Do assistant agent with MCP tools agent = AssistantAgent( name="microsoft_todo_assistant", description="An AI assistant that helps with Microsoft To Do 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 Microsoft To Do 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 Microsoft To Do 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 Microsoft To Do, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## 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) - [Pydantic AI](https://composio.dev/toolkits/microsoft_todo/framework/pydantic-ai) ## 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 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 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)