How to integrate Msg91 MCP with LangChain

This guide walks you through connecting Msg91 to LangChain using the Composio tool router. By the end, you'll have a working Msg91 agent that can send sms to new customer leads, list all ongoing marketing campaigns, fetch failed event logs from last week through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Msg91 account through Composio's Msg91 MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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MSG91 is a cloud communication platform for sending SMS, WhatsApp, Email, and Voice notifications. It lets businesses securely reach customers across multiple channels from one unified API.

8 Tools

Introduction

This guide walks you through connecting Msg91 to LangChain using the Composio tool router. By the end, you'll have a working Msg91 agent that can send sms to new customer leads, list all ongoing marketing campaigns, fetch failed event logs from last week through natural language commands.

This guide will help you understand how to give your LangChain agent real control over a Msg91 account through Composio's Msg91 MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Msg91 with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Msg91 project to Composio
  • Create a Tool Router MCP session for Msg91
  • Initialize an MCP client and retrieve Msg91 tools
  • Build a LangChain agent that can interact with Msg91
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

What is the Msg91 MCP server, and what's possible with it?

The Msg91 MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Msg91 account. It provides structured and secure access to your SMS, campaign, and user event data, so your agent can perform actions like sending SMS messages, tracking campaigns, recording user events, and monitoring delivery failures on your behalf.

  • Send personalized SMS messages: Let your agent dispatch SMS messages to one or multiple recipients, making customer outreach fast and automated.
  • List and track marketing campaigns: Instantly retrieve an overview of all your ongoing or past campaigns, including support for pagination.
  • Create and log user events: Easily record user actions and behaviors in Msg91 Segmento so you can automate engagement and track interactions.
  • Retrieve available event types: Ask your agent to list all defined event types to keep your analytics and segmentation organized and up to date.
  • Monitor failed events for campaigns: Quickly inspect which events failed validation for any campaign, helping you troubleshoot and optimize your communication workflows.

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 step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
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

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_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 your requests to Composio's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Msg91 functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Msg91 tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['msg91']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Msg91 tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
  • This approach allows the agent to dynamically load and use Msg91 tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "msg91-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Msg91 MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Msg91 tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Msg91 related question or task to the agent.\n");

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

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;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

Here's the complete code to get you started with Msg91 and LangChain:

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['msg91']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "msg91-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Msg91 related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    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;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\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

You've successfully built a LangChain agent that can interact with Msg91 through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
TOOLS

Supported Tools

Every Msg91 action and event your agent gets out of the box.

Create User Events

Create and track user events in MSG91 Segmento for customer behavior analysis and segmentation.

Get Event Types

Retrieves all event types configured in MSG91 Segmento.

Get Failed Events

Retrieve failed user events from a MSG91 Segmento campaign.

List Campaigns

Tool to list all campaigns in Segmento.

Resend OTP

Resend OTP to the same mobile number via text message or voice call.

Send OTP

Tool to send OTP (One-Time Password) to a mobile number using a pre-configured MSG91 template.

Send SMS via Flow (V5)

Send SMS messages using pre-defined templates via MSG91 Flow API v5.

Verify OTP

Tool to verify an OTP (One-Time Password) sent to a mobile number.

FRAMEWORKS

How to build Msg91 MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Msg91 MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Msg91 MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Msg91 MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Msg91 MCP with Claude Cowork

Codex logo

Codex

Use Msg91 MCP with Codex

OpenClaw logo

OpenClaw

Use Msg91 MCP with OpenClaw

Hermes logo

Hermes

Use Msg91 MCP with Hermes

CLI logo

CLI

Use Msg91 MCP with CLI

Google ADK logo

Google ADK

Use Msg91 MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Msg91 MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Msg91 MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Msg91 MCP with LlamaIndex

CrewAI logo

CrewAI

Use Msg91 MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Msg91 MCP server, the agents and LLMs can only access a fixed set of Msg91 tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Msg91 and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. LangChain 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 Msg91 tools.

Yes, absolutely. You can configure which Msg91 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 Msg91 data and credentials are handled as safely as possible.

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