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How to integrate Superchat MCP with CrewAI

Connect CrewAI to Superchat MCP. List all whatsapp conversations from today, create a new contact for incoming lead, and more using natural language, with authentication handled for you.

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Superchat is a unified messaging platform for businesses, supporting WhatsApp, Instagram, Facebook Messenger, Email, and more. It streamlines communication by centralizing multi-channel conversations in one place.

21 Tools

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 create and update contacts, list conversations and inboxes, browse message templates, check channels, and manage webhooks 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

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKCodexOpenClawHermesAtomic AgentGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexPydantic AIAutoGen

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.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS
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
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
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
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

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
5

Import dependencies

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")
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
6

Create a Composio Tool Router session for Superchat

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["superchat"])

url = session.mcp.url
What's happening:
  • You create a Superchat only session through Composio
  • Composio returns an MCP HTTP URL that exposes Superchat tools
7

Initialize the MCP Server

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,
    )
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.
8

Create a CLI Chatloop and define the Crew

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")
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.

Complete Code

Here's the complete code to get you started with Superchat and CrewAI:

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
TOOLS

Supported Tools

Every Superchat action and event your agent gets out of the box.

Add Contact to Contact List

Add one existing Superchat contact to one existing contact list.

Create Contact

Create a new contact in Superchat with phone or email handles.

Create Template Folder

Create a new template folder in SuperChat for organizing message templates.

Delete Webhook

Tool to delete a specific webhook by its ID.

Get Contact

Retrieve a specific contact's details by ID.

Get File

Retrieve metadata for a specific file by its ID.

Get User

Retrieve details of a specific user in the Superchat workspace by their user ID.

List Channels

Lists all communication channels in your Superchat workspace.

List Contact Lists

List workspace contact lists so their IDs can be used in later actions.

List Contact Lists for Contact

Return one page of contact lists that contain a selected contact.

List Contacts

List all contacts in the Superchat workspace with cursor-based pagination.

List Conversations

Retrieves a paginated list of all conversations in your Superchat account.

List Custom Attributes

List all custom attributes defined for contacts in your Superchat account.

List Inboxes

Tool to list all inboxes.

List Labels

List all labels in the Superchat workspace.

List Templates

Tool to list all message templates.

List Users

Retrieve all users in the workspace.

List Webhooks

Tool to list all webhooks configured in the workspace.

Search Contacts

Search contacts by one handle or custom attribute equality expression.

Update Contact

Update information for a specific contact in Superchat.

Update Webhook

Update an existing webhook's target URL and/or event subscriptions.

FRAMEWORKS

How to build Superchat MCP Agent with another framework

Claude Code logo

Claude Code

Use Superchat MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Superchat MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Superchat MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Superchat MCP with Claude Agent SDK

Codex logo

Codex

Use Superchat MCP with Codex

OpenClaw logo

OpenClaw

Use Superchat MCP with OpenClaw

Hermes logo

Hermes

Use Superchat MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Superchat MCP with Atomic Agent

Google ADK logo

Google ADK

Use Superchat MCP with Google ADK

LangChain logo

LangChain

Use Superchat MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Superchat MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Superchat MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Superchat MCP with LlamaIndex

Pydantic AI logo

Pydantic AI

Use Superchat MCP with Pydantic AI

AutoGen logo

AutoGen

Use Superchat MCP with AutoGen

FAQ

Frequently asked questions

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.

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.

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.

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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