# How to integrate Superchat MCP with CrewAI

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

## Introduction

This guide walks you through connecting Superchat to CrewAI 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 CrewAI 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

- [OpenAI Agents SDK](https://composio.dev/toolkits/superchat/framework/open-ai-agents-sdk)
- [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)

## TL;DR

Here's what you'll learn:
- Get a Composio API key and configure your Superchat connection
- Set up CrewAI with an MCP enabled agent
- Create a Tool Router session or standalone MCP server for Superchat
- Build a conversational loop where your agent can execute Superchat operations

## What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.
Key features include:
- Agent Roles: Define specialized agents with specific goals and backstories
- Task Management: Create tasks with clear descriptions and expected outputs
- Crew Orchestration: Combine agents and tasks into collaborative workflows
- MCP Integration: Connect to external tools through Model Context Protocol

## 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:
- Python 3.9 or higher
- A Composio account and API key
- A Superchat connection authorized in Composio
- An OpenAI API key for the CrewAI LLM
- Basic familiarity with Python

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

**What's happening:**
- composio connects your agent to Superchat via MCP
- crewai provides Agent, Task, Crew, and LLM primitives
- crewai-tools[mcp] includes MCP helpers
- python-dotenv loads environment variables from .env
```bash
pip install composio crewai crewai-tools[mcp] python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates with Composio
- USER_ID scopes the session to your account
- OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**What's happening:**
- CrewAI classes define agents and tasks, and run the workflow
- MCPServerHTTP connects the agent to an MCP endpoint
- Composio will give you a short lived Superchat MCP URL
```python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
```

### 5. Create a Composio Tool Router session for Superchat

**What's happening:**
- You create a Superchat only session through Composio
- Composio returns an MCP HTTP URL that exposes Superchat tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["superchat"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**What's Happening:**
- Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
- MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
- Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
- Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
- Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
```python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**What's Happening:**
- Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
- Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
- Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
- Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
- Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
- Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.
```python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
```

## Complete Code

```python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["superchat"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")
```

## Conclusion

You now have a CrewAI agent connected to Superchat through Composio's Tool Router. The agent can perform Superchat operations through natural language commands.
Next steps:
- Add role-specific instructions to customize agent behavior
- Plug in more toolkits for multi-app workflows
- Chain tasks for complex multi-step operations

## How to build Superchat MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/superchat/framework/open-ai-agents-sdk)
- [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)

## 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 CrewAI?

Yes, you can. CrewAI 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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