# How to integrate Microsoft teams MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Microsoft teams MCP with Vercel AI SDK v6", "toolkit": "Microsoft teams", "toolkit_slug": "microsoft_teams", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/microsoft_teams/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/microsoft_teams/framework/ai-sdk.md", "updated_at": "2026-05-06T08:20:13.617Z" } ``` ## Introduction This guide walks you through connecting Microsoft teams to Vercel AI SDK v6 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 Vercel AI 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) - [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) - [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: - How to set up and configure a Vercel AI SDK agent with Microsoft teams integration - Using Composio's Tool Router to dynamically load and access Microsoft teams tools - Creating an MCP client connection using HTTP transport - Building an interactive CLI chat interface with conversation history management - Handling tool calls and results within the Vercel AI SDK framework ## What is Vercel AI SDK? The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state. Key features include: - streamText: Core function for streaming responses with real-time tool support - MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp - Step Counting: Control multi-step tool execution with stopWhen: stepCountIs() - OpenAI Provider: Native integration with OpenAI models ## 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 you begin, make sure you have: - Node.js and npm installed - A Composio account with API key - An OpenAI API key ### 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 required dependencies First, install the necessary packages for your project. What you're installing: - @ai-sdk/openai: Vercel AI SDK's OpenAI provider - @ai-sdk/mcp: MCP client for Vercel AI SDK - @composio/core: Composio SDK for tool integration - ai: Core Vercel AI SDK - dotenv: Environment variable management ```bash npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's needed: - OPENAI_API_KEY: Your OpenAI API key for GPT model access - COMPOSIO_API_KEY: Your Composio API key for tool access - COMPOSIO_USER_ID: A unique identifier for the user session ```bash OPENAI_API_KEY=your_openai_api_key_here COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_user_id_here ``` ### 4. Import required modules and validate environment What's happening: - We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio - The dotenv/config import automatically loads environment variables - The MCP client import enables connection to Composio's tool server ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); ``` ### 5. Create Tool Router session and initialize MCP client What's happening: - We're creating a Tool Router session that gives your agent access to Microsoft teams tools - The create method takes the user ID and specifies which toolkits should be available - The returned mcp object contains the URL and authentication headers needed to connect to the MCP server - This session provides access to all Microsoft teams-related tools through the MCP protocol ```typescript async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["microsoft_teams"], }); const mcpUrl = session.mcp.url; ``` ### 6. Connect to MCP server and retrieve tools What's happening: - We're creating an MCP client that connects to our Composio Tool Router session via HTTP - The mcp.url provides the endpoint, and mcp.headers contains authentication credentials - The type: "http" is important - Composio requires HTTP transport - tools() retrieves all available Microsoft teams tools that the agent can use ```typescript const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); ``` ### 7. Initialize conversation and CLI interface What's happening: - We initialize an empty messages array to maintain conversation history - A readline interface is created to accept user input from the command line - Instructions are displayed to guide the user on how to interact with the agent ```typescript let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to microsoft_teams, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); ``` ### 8. Handle user input and stream responses with real-time tool feedback What's happening: - We use streamText instead of generateText to stream responses in real-time - toolChoice: "auto" allows the model to decide when to use Microsoft teams tools - stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations - onStepFinish callback displays which tools are being used in real-time - We iterate through the text stream to create a typewriter effect as the agent responds - The complete response is added to conversation history to maintain context - Errors are caught and displayed with helpful retry suggestions ```typescript rl.on("line", async (userInput: string) => { const trimmedInput = userInput.trim(); if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Complete Code ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["microsoft_teams"], }); const mcpUrl = session.mcp.url; const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to microsoft_teams, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); rl.on("line", async (userInput: string) => { const trimmedInput = userInput.trim(); if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Conclusion You've successfully built a Microsoft teams agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback. Key features of this implementation: - Real-time streaming responses for a better user experience with typewriter effect - Live tool execution feedback showing which tools are being used as the agent works - Dynamic tool loading through Composio's Tool Router with secure authentication - Multi-step tool execution with configurable step limits (up to 10 steps) - Comprehensive error handling for robust agent execution - Conversation history maintenance for context-aware responses You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows. ## 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) - [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 Vercel AI SDK v6? Yes, you can. Vercel AI SDK v6 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. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)