# How to integrate Sendbird MCP with Vercel AI SDK v6

```json
{
  "title": "How to integrate Sendbird MCP with Vercel AI SDK v6",
  "toolkit": "Sendbird",
  "toolkit_slug": "sendbird",
  "framework": "Vercel AI SDK",
  "framework_slug": "ai-sdk",
  "url": "https://composio.dev/toolkits/sendbird/framework/ai-sdk",
  "markdown_url": "https://composio.dev/toolkits/sendbird/framework/ai-sdk.md",
  "updated_at": "2026-05-12T10:25:12.638Z"
}
```

## Introduction

This guide walks you through connecting Sendbird to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Sendbird agent that can add users to a group chat channel, ban a disruptive user from group chat, get unread message count for a user through natural language commands.
This guide will help you understand how to give your Vercel AI SDK agent real control over a Sendbird account through Composio's Sendbird MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Sendbird with

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

## TL;DR

Here's what you'll learn:
- How to set up and configure a Vercel AI SDK agent with Sendbird integration
- Using Composio's Tool Router to dynamically load and access Sendbird 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 Sendbird MCP server, and what's possible with it?

The Sendbird MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Sendbird account. It provides structured and secure access to your in-app chat, voice, and video features, so your agent can perform actions like creating group channels, managing users, moderating conversations, and tracking unread message counts on your behalf.
- Group channel management: Let your agent create new group channels, add or ban members, and delete channels as needed to keep conversations organized and secure.
- User account administration: Automatically register new users or remove users from your Sendbird application, simplifying user lifecycle management.
- Message moderation and cleanup: Empower your agent to delete specific messages—helping enforce community guidelines and remove unwanted content instantly.
- Unread count and status tracking: Retrieve up-to-date counts of unread messages, mentions, and channel invitations for any user to surface important conversations.
- Channel preference insights: Access and update user count preferences in group channels, tailoring notification and message delivery based on user needs.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SENDBIRD_ADD_MEMBERS_GROUP_CHANNEL` | Add Members To Group Channel | Tool to add members to a group channel. Use when you need to invite one or more users into an existing group channel. |
| `SENDBIRD_BAN_USER_FROM_GROUP_CHANNEL` | Ban User from Group Channel | Tool to ban a user from a group channel. Use when moderating group channels to restrict member access. Execute after confirming channel_url and user_id. |
| `SENDBIRD_CREATE_CHANNEL` | Create Group Channel | Tool to create a new group channel. Use when you need to start a conversation with specific users. Execute after specifying users and optional settings. |
| `SENDBIRD_CREATE_USER` | Create Sendbird User | Creates a new user in Sendbird. Use this to register user accounts before they can join channels or send messages. The user_id must be unique across the application. |
| `SENDBIRD_DELETE_CHANNEL` | Delete Group Channel | Permanently deletes a Sendbird group channel. Use this tool when you need to remove a group channel and all its associated data (messages, members, etc.). WARNING: This action is irreversible. Requires the channel_url identifier of the channel to delete. |
| `SENDBIRD_DELETE_MESSAGE` | Delete Message | Permanently deletes a specific message from a Sendbird group channel. This action cannot be undone. Use this when you need to remove a message that was sent by mistake or contains inappropriate content. Requires both channel_url and message_id, which can be obtained from channel/message listing endpoints. |
| `SENDBIRD_DELETE_USER` | Delete Sendbird User | Tool to delete a Sendbird user. Use when you need to remove a user from your Sendbird application, optionally permanently. |
| `SENDBIRD_GET_COUNT_PREFERENCE_OF_CHANNEL` | Get Count Preference Of Channel | Tool to retrieve a user's count preference for a specific group channel. Use after confirming the user and channel exist to determine whether to display all, unread-only, or mention-only counts. |
| `SENDBIRD_GET_NUMBER_OF_CHANNELS_BY_JOIN_STATUS` | Get User Group Channel Count by Join Status | Retrieves the number of group channels for a user, categorized by join status (joined, invited, etc.). Use this tool to get channel count statistics for a specific user, optionally filtered by channel properties like visibility (public/private), distinctness, or super mode. Returns counts of joined channels, invited channels (with friend/non-friend breakdown), and total count. |
| `SENDBIRD_GET_NUMBER_OF_UNREAD_ITEMS` | Sendbird Get Unread Item Count | Tool to retrieve a user's unread item counts including unread messages, mentions, and pending invitations across group channels. Use this to display unread counts in the UI for a specific user. |
| `SENDBIRD_ISSUE_SESSION_TOKEN` | Issue Session Token | Issues a session token for authenticating a Sendbird user. Use this tool when you need to: - Generate a new session token for SDK authentication - Refresh an expiring or expired session token - Provide secure access for a user to connect to Sendbird chat The session token has a default expiration of 7 days if expires_at is not specified. |
| `SENDBIRD_LEAVE_GROUP_CHANNELS` | Leave Group Channels | Tool to leave group channels for a user. Use when you need to make a user exit one or more joined group channels. |
| `SENDBIRD_LIST_BANNED_MEMBERS` | List Banned Members | Tool to list banned members in a group channel. Use when you need to see which users are banned from a specific group channel. |
| `SENDBIRD_LIST_GROUP_CHANNEL_MESSAGES` | Sendbird List Group Channel Messages | Tool to list (paginate) messages in a group channel when you only know the channel_url. Requires either message_ts (Unix ms timestamp) or message_id as an anchor. Use with SENDBIRD_VIEW_GROUP_CHANNEL (show_read_receipt=true) to fetch unread messages: get last-read timestamp, then call this with message_ts=, prev_limit=0, next_limit=, include=false. |
| `SENDBIRD_LIST_GROUP_CHANNELS` | List Group Channels | Tool to list group channels. Use when you need to fetch paginated group channels with optional filters. |
| `SENDBIRD_LIST_MEMBERS_GROUP_CHANNEL` | List Group Channel Members | Tool to list members of a group channel. Use when you need to paginate through members of a specified group channel. |
| `SENDBIRD_LIST_OPERATORS_CUSTOM_CHANNEL_TYPE` | List Operators by Custom Channel Type | Tool to list operators of a channel by custom channel type. Use when you need to fetch operators for a specific custom channel type with pagination. |
| `SENDBIRD_LIST_OPERATORS_GROUP_CHANNEL` | List Group Channel Operators | Tool to list operators of a group channel. Use after specifying the channel_url when needing to paginate through operators. |
| `SENDBIRD_LIST_OPERATORS_OPEN_CHANNEL` | List Open Channel Operators | Tool to list operators of an open channel. Use when you have the open channel URL and need to fetch its operators. Supports pagination via token and limit. |
| `SENDBIRD_LIST_USERS` | List Sendbird Users | Retrieves a paginated list of users from your Sendbird application. Use this tool to: - Browse all users in your application - Search for users by nickname or user IDs - Filter users by metadata, custom type, or activity status - Paginate through large user lists using the 'next' token Returns user details including profile info, connection status, and metadata. Results are paginated; use the 'next' token from the response to fetch additional pages. |
| `SENDBIRD_MARK_ALL_USER_MESSAGES_AS_READ` | Mark All User Messages As Read | Tool to mark all of a user's messages as read in group channels. Use when resetting unread message counts after a user has viewed all messages. |
| `SENDBIRD_MUTE_USER` | Mute User | Tool to mute a user in a group channel. Use when you need to prevent a user from sending messages for a specified duration. |
| `SENDBIRD_REGISTER_OPERATORS_CUSTOM_CHANNEL_TYPE` | Register Operators by Custom Channel Type | Registers one or more users as operators for all channels with a specified custom channel type. Use this tool when you need to grant operator privileges to users across all channels that share the same custom_type. Operators have elevated permissions including: - Muting and banning users from channels - Deleting messages in channels - Freezing/unfreezing channels - Managing channel settings Prerequisites: - The user IDs must belong to existing Sendbird users - The custom_type should match channels you want to manage Note: This affects all channels with the specified custom_type, not just a single channel. |
| `SENDBIRD_REGISTER_OPERATORS_GROUP_CHANNEL` | Register Group Channel Operators | Tool to register one or more users as operators in a Sendbird group channel. Use when elevating permissions of existing channel members. |
| `SENDBIRD_REGISTER_OPERATORS_OPEN_CHANNEL` | Register Operators to Open Channel | Tool to register operators to an open channel. Use after creating or updating an open channel when you need to assign operator roles. |
| `SENDBIRD_REVOKE_ALL_SESSION_TOKENS` | Revoke All Session Tokens | Tool to revoke all session tokens for a user. Use when you need to invalidate all active sessions for security. |
| `SENDBIRD_SEND_MESSAGE` | Send Message | Tool to send a message to a group channel. Use when you need to post a text, file, or admin message to an existing group channel. |
| `SENDBIRD_UNBAN_USER` | Unban User from Group Channel | Tool to unban a user from a group channel. Use when reinstating a previously banned user. Execute after confirming the user is currently banned. |
| `SENDBIRD_UNMUTE_USER` | Unmute User | Tool to unmute a user in a group channel. Use when you want to restore a muted user's ability to send messages after confirming they are muted. |
| `SENDBIRD_UNREGISTER_OPERATORS_CUSTOM_CHANNEL_TYPE` | Unregister Operators Custom Channel Type | Tool to unregister operators from channels by custom channel type. Use when you need to remove operator roles from users across channels of a specific custom type. |
| `SENDBIRD_UPDATE_COUNT_PREFERENCE_OF_CHANNEL` | Update Count Preference Of Channel | Tool to update a user's unread count preference for a specific group channel. Use when you want to include or suppress a channel in the user's unread counts. |
| `SENDBIRD_UPDATE_GROUP_CHANNEL` | Update Group Channel | Tool to update group channel information. Use when you need to modify channel attributes such as name, cover image, privacy settings, or operator list after channel creation. |
| `SENDBIRD_UPDATE_MESSAGE` | Sendbird Update Message | Tool to update an existing group channel message in Sendbird. Use after you need to modify content or metadata of a sent message. |
| `SENDBIRD_UPDATE_USER` | Update Sendbird User | Tool to update a user's information. Use when modifying nickname, profile image URL, activation status, or metadata. |
| `SENDBIRD_VIEW_GROUP_CHANNEL` | Sendbird View Group Channel | Tool to view information about a specific group channel. Use when you need channel details after confirming the channel_url. |
| `SENDBIRD_VIEW_MESSAGE` | Sendbird View Message | Tool to view a specific message in a group channel. Use after confirming channel_url and message_id. |
| `SENDBIRD_VIEW_USER` | View User | Tool to retrieve information about a specific Sendbird user. Use when you need to fetch detailed user data by their user ID. |

## Supported Triggers

None listed.

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

The Sendbird MCP server is an implementation of the Model Context Protocol that connects your AI agent to Sendbird. It provides structured and secure access so your agent can perform Sendbird 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 Sendbird 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 Sendbird-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: ["sendbird"],
  });

  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 Sendbird 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 sendbird, 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 Sendbird 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: ["sendbird"],
  });

  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 sendbird, 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 Sendbird 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 Sendbird MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/sendbird/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/sendbird/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/sendbird/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/sendbird/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/sendbird/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/sendbird/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/sendbird/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/sendbird/framework/cli)
- [Google ADK](https://composio.dev/toolkits/sendbird/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/sendbird/framework/langchain)
- [Mastra AI](https://composio.dev/toolkits/sendbird/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/sendbird/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/sendbird/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.
- [Microsoft teams](https://composio.dev/toolkits/microsoft_teams) - Microsoft Teams is a collaboration platform that combines chat, meetings, and file sharing within Microsoft 365. It keeps distributed teams connected and productive through seamless virtual communication.
- [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.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Sendbird MCP?

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

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

Yes, absolutely. You can configure which Sendbird 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 Sendbird 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)
