# How to integrate Microsoft teams MCP with Autogen

```json
{
  "title": "How to integrate Microsoft teams MCP with Autogen",
  "toolkit": "Microsoft teams",
  "toolkit_slug": "microsoft_teams",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/microsoft_teams/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/microsoft_teams/framework/autogen.md",
  "updated_at": "2026-05-06T08:20:13.617Z"
}
```

## Introduction

This guide walks you through connecting Microsoft teams to AutoGen using the Composio tool router. By the end, you'll have a working Microsoft teams agent that can add new member to project team, schedule an online meeting for sales, list all chats i’m part of through natural language commands.
This guide will help you understand how to give your AutoGen agent real control over a Microsoft teams account through Composio's Microsoft teams MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Microsoft teams with

- [ChatGPT](https://composio.dev/toolkits/microsoft_teams/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/microsoft_teams/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/microsoft_teams/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/microsoft_teams/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/microsoft_teams/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/microsoft_teams/framework/codex)
- [Cursor](https://composio.dev/toolkits/microsoft_teams/framework/cursor)
- [VS Code](https://composio.dev/toolkits/microsoft_teams/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/microsoft_teams/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/microsoft_teams/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/microsoft_teams/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/microsoft_teams/framework/cli)
- [Google ADK](https://composio.dev/toolkits/microsoft_teams/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/microsoft_teams/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/microsoft_teams/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/microsoft_teams/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/microsoft_teams/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/microsoft_teams/framework/crew-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 teams
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Microsoft teams tools
- Run a live chat loop where you ask the agent to perform Microsoft teams 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 teams MCP server, and what's possible with it?

The Microsoft 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 Microsoft Teams account. It provides structured and secure access to your Teams workspace, so your agent can perform actions like managing chats, sending messages, creating meetings, and organizing teams on your behalf.
- Automated chat and message management: Let your agent retrieve, read, and summarize messages from any Teams chat, or fetch all chats you’re part of for quick updates.
- Team and channel organization: Easily create new teams, add members, get channel details, or archive and delete teams to keep your workspace organized.
- Scheduling online meetings: Have your agent schedule standalone Teams meetings instantly, making it simple to coordinate with colleagues or clients without manual setup.
- Granular access to team and chat details: Fetch full information about specific teams, channels, or even individual messages with precision, enabling rich contextual workflows.
- Seamless membership and collaboration management: Add or update members in teams with a prompt, ensuring the right people always have access to the conversations and resources they need.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `MICROSOFT_TEAMS_ADD_MEMBER_TO_TEAM` | Add member to team | Tool to add a user to a microsoft teams team. use when granting or updating membership for a user. |
| `MICROSOFT_TEAMS_ARCHIVE_TEAM` | Archive Teams team | Tool to archive a microsoft teams team. use after confirming the team id; returns 202 if accepted. |
| `MICROSOFT_TEAMS_CHATS_GET_ALL_CHATS` | Get all chats | Retrieves all microsoft teams chats a specified user is part of, supporting filtering, property selection, and pagination. |
| `MICROSOFT_TEAMS_CHATS_GET_ALL_MESSAGES` | Get all chat messages | Retrieves all messages from a specified microsoft teams chat using the microsoft graph api, automatically handling pagination; ensure `chat id` is valid and odata expressions in `filter` or `select` are correct. |
| `MICROSOFT_TEAMS_CREATE_MEETING` | Create online meeting | Use to schedule a new standalone microsoft teams online meeting, i.e., one not linked to any calendar event. |
| `MICROSOFT_TEAMS_CREATE_TEAM` | Create Team | Tool to create a new microsoft teams team. use when you need to provision a team with optional template, channels, and members. |
| `MICROSOFT_TEAMS_DELETE_TEAM` | Delete Teams team | Tool to delete a microsoft teams team. use after confirming the target team id. |
| `MICROSOFT_TEAMS_GET_CHANNEL` | Get team channel | Tool to get a specific channel in a team. use after obtaining valid team and channel ids to fetch channel details. |
| `MICROSOFT_TEAMS_GET_CHAT_MESSAGE` | Get chat message | Tool to get a specific chat message. use after confirming chat id and message id. |
| `MICROSOFT_TEAMS_GET_TEAM` | Get Team | Tool to get a specific team. use when full details of one team by id are needed. |
| `MICROSOFT_TEAMS_LIST_MESSAGE_REPLIES` | List message replies | Tool to list replies to a channel message. use after obtaining team, channel, and message ids. |
| `MICROSOFT_TEAMS_LIST_TEAM_MEMBERS` | List team members | Tool to list members of a microsoft teams team. use when you need to retrieve the members of a specific team, for auditing or notifications. |
| `MICROSOFT_TEAMS_LIST_TEAMS_TEMPLATES` | List Teams templates | Tool to list available microsoft teams templates. use when retrieving templates for team creation or customization workflows. |
| `MICROSOFT_TEAMS_LIST_USERS` | List users | Tool to list all users in the organization. use when you need to retrieve directory users with filtering, pagination, and field selection. |
| `MICROSOFT_TEAMS_TEAMS_CREATE_CHANNEL` | Create a channel | Creates a new 'standard', 'private', or 'shared' channel within a specified microsoft teams team. |
| `MICROSOFT_TEAMS_TEAMS_CREATE_CHAT` | Create Chat | Creates a new chat; if a 'oneonone' chat with the specified members already exists, its details are returned, while 'group' chats are always newly created. |
| `MICROSOFT_TEAMS_TEAMS_GET_MESSAGE` | Get Teams message | Retrieves a specific message from a microsoft teams channel using its team, channel, and message ids. |
| `MICROSOFT_TEAMS_TEAMS_LIST` | List Teams | Retrieves microsoft teams accessible by the authenticated user, allowing filtering, property selection, and pagination. |
| `MICROSOFT_TEAMS_TEAMS_LIST_CHANNELS` | List team channels | Retrieves channels for a specified microsoft teams team id (must be valid and for an existing team), with options to include shared channels, filter results, and select properties. |
| `MICROSOFT_TEAMS_TEAMS_LIST_CHAT_MESSAGES` | List chat messages | Retrieves messages (newest first) from an existing and accessible microsoft teams one-on-one chat, group chat, or channel thread, specified by `chat id`. |
| `MICROSOFT_TEAMS_TEAMS_LIST_PEOPLE` | List People | Retrieves a list of people relevant to a specified user from microsoft graph, noting the `search` parameter is only effective if `user id` is 'me'. |
| `MICROSOFT_TEAMS_TEAMS_POST_CHANNEL_MESSAGE` | Post message to Teams channel | Posts a new text or html message to a specified channel in a microsoft teams team. |
| `MICROSOFT_TEAMS_TEAMS_POST_CHAT_MESSAGE` | Send message to Teams chat | Sends a non-empty message (text or html) to a specified, existing microsoft teams chat; content must be valid html if `content type` is 'html'. |
| `MICROSOFT_TEAMS_TEAMS_POST_MESSAGE_REPLY` | Reply to Teams channel message | Sends a reply to an existing message, identified by `message id`, within a specific `channel id` of a given `team id` in microsoft teams. |
| `MICROSOFT_TEAMS_UNARCHIVE_TEAM` | Unarchive Teams team | Tool to unarchive a microsoft teams team. use when you need to restore an archived team to active state. |
| `MICROSOFT_TEAMS_UPDATE_CHANNEL_MESSAGE` | Update Teams channel message | Tool to update a message in a channel. use when you need to modify an existing channel message after confirming channel and message ids. |
| `MICROSOFT_TEAMS_UPDATE_CHAT_MESSAGE` | Update Teams chat message | Tool to update a specific message in a chat. use when you need to correct or modify a sent chat message. |
| `MICROSOFT_TEAMS_UPDATE_TEAM` | Update Team | Tool to update the properties of a team. use when you need to modify team settings such as member, messaging, or fun settings. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Microsoft teams MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Microsoft teams. Instead of manually wiring Microsoft teams 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 teams 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 teams 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 teams 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 teams 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 teams session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["microsoft_teams"]
    )
    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 teams 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 teams assistant agent with MCP tools
    agent = AssistantAgent(
        name="microsoft_teams_assistant",
        description="An AI assistant that helps with Microsoft teams 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 teams 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 teams 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 teams session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["microsoft_teams"]
    )
    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 teams assistant agent with MCP tools
        agent = AssistantAgent(
            name="microsoft_teams_assistant",
            description="An AI assistant that helps with Microsoft teams 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 teams 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 teams 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 teams, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Microsoft teams MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/microsoft_teams/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/microsoft_teams/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/microsoft_teams/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/microsoft_teams/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/microsoft_teams/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/microsoft_teams/framework/codex)
- [Cursor](https://composio.dev/toolkits/microsoft_teams/framework/cursor)
- [VS Code](https://composio.dev/toolkits/microsoft_teams/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/microsoft_teams/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/microsoft_teams/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/microsoft_teams/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/microsoft_teams/framework/cli)
- [Google ADK](https://composio.dev/toolkits/microsoft_teams/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/microsoft_teams/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/microsoft_teams/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/microsoft_teams/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/microsoft_teams/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/microsoft_teams/framework/crew-ai)

## Related Toolkits

- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.
- [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.
- [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place.
- [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action.
- [Slackbot](https://composio.dev/toolkits/slackbot) - Slackbot is a conversational automation tool for Slack that handles reminders, notifications, and automated responses. It boosts team productivity by streamlining onboarding, answering FAQs, and managing timely alerts—all right inside Slack.
- [2chat](https://composio.dev/toolkits/_2chat) - 2chat is an API platform for WhatsApp and multichannel text messaging. It streamlines chat automation, group management, and real-time messaging for developers.
- [Agent mail](https://composio.dev/toolkits/agent_mail) - Agent mail provides AI agents with dedicated email inboxes for sending, receiving, and managing emails. It empowers agents to communicate autonomously with people, services, and other agents—no human intervention needed.
- [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.
- [Chatwork](https://composio.dev/toolkits/chatwork) - Chatwork is a team communication platform with group chats, file sharing, and task management. It helps businesses boost collaboration and streamline productivity.
- [Clickmeeting](https://composio.dev/toolkits/clickmeeting) - ClickMeeting is a cloud-based platform for running online meetings and webinars. It helps businesses and individuals host, manage, and engage virtual audiences with ease.
- [Confluence](https://composio.dev/toolkits/confluence) - Confluence is Atlassian's team collaboration and knowledge management platform. It helps your team organize, share, and update documents and project content in one secure workspace.
- [Dailybot](https://composio.dev/toolkits/dailybot) - DailyBot streamlines team collaboration with chat-based standups, reminders, and polls. It keeps work flowing smoothly in your favorite messaging platforms.
- [Dialmycalls](https://composio.dev/toolkits/dialmycalls) - Dialmycalls is a mass notification service for sending voice and text messages to contacts. It helps teams and organizations quickly broadcast urgent alerts and updates.
- [Dialpad](https://composio.dev/toolkits/dialpad) - Dialpad is a cloud-based business phone and contact center system for teams. It unifies voice, video, messaging, and meetings across your devices.
- [Discord](https://composio.dev/toolkits/discord) - Discord is a real-time messaging and VoIP platform for communities and teams. It lets users chat, share media, and collaborate across public and private channels.
- [Discordbot](https://composio.dev/toolkits/discordbot) - Discordbot is an automation tool for Discord servers that handles moderation, messaging, and user engagement. It helps communities run smoothly by automating routine and complex tasks.
- [Echtpost](https://composio.dev/toolkits/echtpost) - Echtpost is a secure digital communication platform for encrypted document and message exchange. It ensures confidential data stays private and protected during transmission.
- [Egnyte](https://composio.dev/toolkits/egnyte) - Egnyte is a cloud-based platform for secure file sharing, storage, and governance. It helps teams collaborate efficiently while maintaining data compliance and security.
- [Google Meet](https://composio.dev/toolkits/googlemeet) - Google Meet is a secure video conferencing platform for virtual meetings, chat, and screen sharing. It helps teams connect, collaborate, and communicate seamlessly from anywhere.
- [Heartbeat](https://composio.dev/toolkits/heartbeat) - Heartbeat is a plug-and-play platform for building and managing online communities. It helps you organize users, channels, events, and discussions in one place.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Microsoft teams MCP?

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

### Can I manage the permissions and scopes for Microsoft teams while using Tool Router?

Yes, absolutely. You can configure which Microsoft 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.

### 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 teams data and credentials are handled as safely as possible.

---
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