# How to integrate Superchat MCP with Mastra AI

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

## Introduction

This guide walks you through connecting Superchat to Mastra AI 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 Mastra AI 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)
- [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:
- Set up your environment so Mastra, OpenAI, and Composio work together
- Create a Tool Router session in Composio that exposes Superchat tools
- Connect Mastra's MCP client to the Composio generated MCP URL
- Fetch Superchat tool definitions and attach them as a toolset
- Build a Mastra agent that can reason, call tools, and return structured results
- Run an interactive CLI where you can chat with your Superchat agent

## What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.
Key features include:
- MCP Client: Built-in support for Model Context Protocol servers
- Toolsets: Organize tools into logical groups
- Step Callbacks: Monitor and debug agent execution
- OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

## 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:
- Node.js 18 or higher
- A Composio account with an active API key
- An OpenAI API key
- Basic familiarity with 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 need credits or a connected billing setup to use the models.
- Store the key somewhere 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.
- This key lets your Mastra agent talk to Composio and reach Superchat through MCP.

### 2. Install dependencies

Install the required packages.
What's happening:
- @composio/core is the Composio SDK for creating MCP sessions
- @mastra/core provides the Agent class
- @mastra/mcp is Mastra's MCP client
- @ai-sdk/openai is the model wrapper for OpenAI
- dotenv loads environment variables from .env
```bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio
- COMPOSIO_USER_ID tells Composio which user this session belongs to
- OPENAI_API_KEY lets the Mastra agent call OpenAI models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import libraries and validate environment

What's happening:
- dotenv/config auto loads your .env so process.env.* is available
- openai gives you a Mastra compatible model wrapper
- Agent is the Mastra agent that will call tools and produce answers
- MCPClient connects Mastra to your Composio MCP server
- Composio is used to create a Tool Router session
```typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) 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 as string,
});
```

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

What's happening:
- create spins up a short-lived MCP HTTP endpoint for this user
- The toolkits array contains "superchat" for Superchat access
- session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
```typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["superchat"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Superchat MCP URL:", composioMCPUrl);
```

### 6. Configure Mastra MCP client and fetch tools

What's happening:
- MCPClient takes an id for this client and a list of MCP servers
- The headers property includes the x-api-key for authentication
- getTools fetches the tool definitions exposed by the Superchat toolkit
```typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
```

### 7. Create the Mastra agent

What's happening:
- Agent is the core Mastra agent
- name is just an identifier for logging and debugging
- instructions guide the agent to use tools instead of only answering in natural language
- model uses openai("gpt-5") to configure the underlying LLM
```typescript
const agent = new Agent({
    name: "superchat-mastra-agent",
    instructions: "You are an AI agent with Superchat tools via Composio.",
    model: "openai/gpt-5",
  });
```

### 8. Set up interactive chat interface

What's happening:
- messages keeps the full conversation history in Mastra's expected format
- agent.generate runs the agent with conversation history and Superchat toolsets
- maxSteps limits how many tool calls the agent can take in a single run
- onStepFinish is a hook that prints intermediate steps for debugging
```typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\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({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        superchat: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    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 { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) 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 as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["superchat"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      superchat: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "superchat-mastra-agent",
    instructions: "You are an AI agent with Superchat tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { superchat: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();
```

## Conclusion

You've built a Mastra AI agent that can interact with Superchat through Composio's Tool Router.
You can extend this further by:
- Adding other toolkits like Gmail, Slack, or GitHub
- Building a web-based chat interface around this agent
- Using multiple MCP endpoints to enable cross-app workflows

## 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)
- [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 Mastra AI?

Yes, you can. Mastra AI 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.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
