# How to integrate Microsoft teams MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Microsoft teams MCP with OpenAI Agents SDK",
  "toolkit": "Microsoft teams",
  "toolkit_slug": "microsoft_teams",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/microsoft_teams/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/microsoft_teams/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-06T08:20:13.617Z"
}
```

## Introduction

This guide walks you through connecting Microsoft teams to the OpenAI Agents SDK 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 OpenAI Agents SDK 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)
- [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 necessary dependencies
- Initialize Composio and create a Tool Router session for Microsoft teams
- Configure an AI agent that can use Microsoft teams as a tool
- Run a live chat session where you can ask the agent to perform Microsoft teams operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## 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 agent to Microsoft teams. It provides structured and secure access so your agent can perform Microsoft teams 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:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Microsoft teams project
- Some knowledge of Python or Typescript

### 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).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Microsoft teams.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only microsoft_teams.
- The router checks the user's Microsoft teams connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Microsoft teams.
- This approach keeps things lightweight and lets the agent request Microsoft teams tools only when needed during the conversation.
```python
# Create a Microsoft teams Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["microsoft_teams"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Microsoft teams
const session = await composio.create(userId as string, {
  toolkits: ['microsoft_teams'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Microsoft teams. "
        "Help users perform Microsoft teams operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Microsoft teams. Help users perform Microsoft teams operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["microsoft_teams"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Microsoft teams. "
        "Help users perform Microsoft teams operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['microsoft_teams'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Microsoft teams. Help users perform Microsoft teams operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Microsoft teams MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Microsoft teams.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

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

- [ChatGPT](https://composio.dev/toolkits/microsoft_teams/framework/chatgpt)
- [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 OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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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[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)