# How to integrate Superchat MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Superchat MCP with OpenAI Agents SDK",
  "toolkit": "Superchat",
  "toolkit_slug": "superchat",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/superchat/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/superchat/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:27:31.364Z"
}
```

## Introduction

This guide walks you through connecting Superchat to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Superchat agent that can list all whatsapp conversations from today, create a new contact for incoming lead, fetch details for contact john smith through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Superchat account through Composio's Superchat MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Superchat with

- [Claude Agent SDK](https://composio.dev/toolkits/superchat/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/superchat/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/superchat/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/superchat/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/superchat/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/superchat/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/superchat/framework/cli)
- [Google ADK](https://composio.dev/toolkits/superchat/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/superchat/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/superchat/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/superchat/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/superchat/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/superchat/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 Superchat
- Configure an AI agent that can use Superchat as a tool
- Run a live chat session where you can ask the agent to perform Superchat 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 Superchat MCP server, and what's possible with it?

The Superchat MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Superchat account. It provides structured and secure access to your unified messaging platform, so your agent can perform actions like managing contacts, listing conversations, organizing templates, and retrieving channel information across messaging channels on your behalf.
- Unified contact management: Easily create, fetch, and list contacts, allowing your agent to manage your customer database and keep your communications up to date.
- Conversation and channel insights: Ask your agent to list all ongoing conversations and available messaging channels, making it easy to monitor activity and streamline engagement across platforms.
- Template and folder organization: Have your agent create new template folders to organize message templates for efficient, consistent communication with customers.
- Custom attribute retrieval: Let your agent pull all custom contact attributes, enabling dynamic personalization and tailored messaging workflows.
- Webhook and file management: Direct your agent to delete obsolete webhooks or retrieve file metadata, keeping your integrations clean and your resources easily accessible.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SUPERCHAT_CREATE_CONTACT` | Create Contact | Create a new contact in Superchat with phone or email handles. Use this tool to register contact details before sending messages. You must provide at least one handle (phone or email). Optional fields include first name, last name, gender, and custom attributes (if predefined in your account settings). |
| `SUPERCHAT_CREATE_TEMPLATE_FOLDER` | Create Template Folder | Create a new template folder in SuperChat for organizing message templates. Template folders help organize WhatsApp and other messaging templates into logical groups (e.g., Marketing, Sales, Customer Support). Use this action before creating templates when you want to keep them organized. |
| `SUPERCHAT_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a specific webhook by its ID. Use when you need to remove an obsolete or unwanted webhook subscription. First use SUPERCHAT_LIST_WEBHOOKS to retrieve the webhook ID, then use this action to delete it. Example: Delete webhook wh_UPYSN0Etofjl7lhhQ9yhL. |
| `SUPERCHAT_GET_CONTACT` | Get Contact | Retrieve a specific contact's details by ID. Returns the contact's name, handles (phone, email, social), custom attributes, and timestamps. Use this to look up contact information before sending messages or updating contact details. Example: "Get contact details for co_abc123" or "Fetch info for contact co_xyz789". |
| `SUPERCHAT_GET_FILE` | Get File | Retrieve metadata for a specific file by its ID. Returns file details including the file name, MIME type, API resource URL, and a temporary download link with expiration. Use this to get information about uploaded files before downloading or processing them. |
| `SUPERCHAT_GET_USER` | Get User | Retrieve details of a specific user in the Superchat workspace by their user ID. Use this tool when you need to fetch profile information for a known user. Note: You can obtain user IDs by first calling the List Users action. Example user_id format: 'us_abc123xyz' |
| `SUPERCHAT_LIST_CHANNELS` | List Channels | Lists all communication channels in your Superchat workspace. Channels represent different messaging mediums (WhatsApp, email, SMS, Telegram, Instagram, Facebook) through which conversations occur. Results are sorted by creation date (newest first) and can be paginated using 'limit', 'after', or 'before' parameters. |
| `SUPERCHAT_LIST_CONTACTS` | List Contacts | List all contacts in the Superchat workspace with cursor-based pagination. Use this tool to browse contacts, find contact IDs, or export contact data. Results are sorted by creation date (newest first). |
| `SUPERCHAT_LIST_CONVERSATIONS` | List Conversations | Retrieves a paginated list of all conversations in your Superchat account. Each conversation includes channel info, status (open/snoozed/done), assigned users, contacts, labels, and inbox details. Use this to browse conversations, find specific ones by status or channel, or get conversation IDs for further operations. Supports cursor-based pagination to handle large result sets. |
| `SUPERCHAT_LIST_CUSTOM_ATTRIBUTES` | List Custom Attributes | List all custom attributes defined for contacts in your Superchat account. Custom attributes are user-defined fields that extend contact data beyond standard fields like name and email. Use this action to discover available custom attributes before reading or updating contact information. Supports cursor-based pagination for accounts with many custom attributes. Common use cases: - Discover available custom fields before updating contacts - Retrieve custom attribute types (string, number, date, select, etc.) - Get custom attribute IDs for use in other API calls |
| `SUPERCHAT_LIST_INBOXES` | List Inboxes | Tool to list all inboxes. Use when you need to retrieve inbox IDs and metadata before sending or organizing messages. |
| `SUPERCHAT_LIST_LABELS` | List Labels | List all labels in the Superchat workspace. Labels are used to categorize and organize conversations. Use this tool to retrieve available labels and their IDs, which can then be used to assign labels to conversations via the update conversation endpoint. Supports cursor-based pagination for workspaces with many labels. |
| `SUPERCHAT_LIST_TEMPLATES` | List Templates | Tool to list all message templates. Use when you need to fetch available message templates. |
| `SUPERCHAT_LIST_USERS` | List Users | Retrieve all users in the workspace. Returns user profiles including names, emails, roles, and contact info. Supports pagination for large workspaces. Use cases: - Get a directory of all workspace members - Find user IDs for other API operations - Audit user roles and permissions |
| `SUPERCHAT_LIST_WEBHOOKS` | List Webhooks | Tool to list all webhooks configured in the workspace. Use this tool to: - Retrieve all active and paused webhooks - Get webhook IDs for use with update or delete operations - Check webhook status and event subscriptions Supports pagination via 'limit', 'after', and 'before' parameters. |
| `SUPERCHAT_UPDATE_CONTACT` | Update Contact | Update information for a specific contact in Superchat. Use this tool to modify a contact's name, gender, handles (phone/email), or custom attributes. Requires the contact_id (prefixed with 'ct_') which can be obtained from List Contacts or Create Contact. Examples: - Update first name: {"contact_id": "ct_abc123", "first_name": "Jane"} - Update gender: {"contact_id": "ct_abc123", "gender": "female"} - Update phone handle: {"contact_id": "ct_abc123", "handles": [{"type": "phone", "value": "+1234567890"}]} |
| `SUPERCHAT_UPDATE_WEBHOOK` | Update Webhook | Update an existing webhook's target URL and/or event subscriptions. Use this tool to: - Change the webhook delivery URL - Add or remove event subscriptions - Update event types the webhook listens to Note: Webhook status (ACTIVE/PAUSED) is automatically managed by the API and cannot be manually changed. Webhooks become PAUSED after 7 days of consistent delivery failures. |

## Supported Triggers

None listed.

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

The Superchat MCP server is an implementation of the Model Context Protocol that connects your AI agent to Superchat. It provides structured and secure access so your agent can perform Superchat 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 Superchat 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 Superchat.
```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 superchat.
- The router checks the user's Superchat connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Superchat.
- This approach keeps things lightweight and lets the agent request Superchat tools only when needed during the conversation.
```python
# Create a Superchat Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["superchat"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Superchat
const session = await composio.create(userId as string, {
  toolkits: ['superchat'],
});
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 Superchat. "
        "Help users perform Superchat 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 Superchat. Help users perform Superchat 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=["superchat"]
)
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 Superchat. "
        "Help users perform Superchat 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: ['superchat'],
  });
  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 Superchat. Help users perform Superchat 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 Superchat MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Superchat.
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 Superchat MCP Agent with another framework

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

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

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

Yes, absolutely. You can configure which Superchat 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 Superchat 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)