How to integrate Doppler marketing automation MCP with LangChain

This guide walks you through connecting Doppler marketing automation to LangChain using the Composio tool router. By the end, you'll have a working Doppler marketing automation agent that can add new leads to your newsletter list, import conference attendees into vip subscribers list, list all campaigns sent this month through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Doppler marketing automation account through Composio's Doppler marketing automation MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Doppler marketing automation logoDoppler marketing automation
Api Key

Doppler marketing automation is a platform for creating, sending, and tracking email campaigns. It helps you automate marketing workflows and manage subscriber lists for better engagement.

38 Tools

Introduction

This guide walks you through connecting Doppler marketing automation to LangChain using the Composio tool router. By the end, you'll have a working Doppler marketing automation agent that can add new leads to your newsletter list, import conference attendees into vip subscribers list, list all campaigns sent this month through natural language commands.

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

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

Also integrate Doppler marketing automation with

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Doppler marketing automation project to Composio
  • Create a Tool Router MCP session for Doppler marketing automation
  • Initialize an MCP client and retrieve Doppler marketing automation tools
  • Build a LangChain agent that can interact with Doppler marketing automation
  • 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 Doppler marketing automation MCP server, and what's possible with it?

The Doppler marketing automation MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Doppler marketing automation account. It provides structured and secure access to your campaigns, subscriber lists, and analytics, so your agent can create and manage lists, add or import subscribers, review campaign data, and analyze subscriber engagement on your behalf.

  • Subscriber management and segmentation: Effortlessly add new subscribers, import contacts in bulk, and organize them into targeted lists for personalized outreach.
  • Campaign insights and reporting: Retrieve detailed information about your email campaigns, monitor their status, and analyze performance metrics directly through your agent.
  • List creation and maintenance: Create new subscriber lists, fetch existing lists, and clean up outdated lists to keep your database organized and effective.
  • Individual and bulk subscriber lookup: Instantly fetch details for specific subscribers or get comprehensive overviews of all subscribers within a list for data-driven decisions.
  • Unsubscribe and audit tracking: Easily track and audit removed subscribers to understand churn and maintain compliance with email best practices.

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 Doppler marketing automation 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 Doppler marketing automation 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: ['doppler_marketing_automation']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Doppler marketing automation 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 Doppler marketing automation tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "doppler_marketing_automation-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 Doppler marketing automation MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Doppler marketing automation 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 Doppler marketing automation 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 Doppler marketing automation 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: ['doppler_marketing_automation']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "doppler_marketing_automation-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 Doppler marketing automation 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 Doppler marketing automation 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 Doppler marketing automation action and event your agent gets out of the box.

Add Subscriber

Tool to add a new subscriber to a specific list for a specified account.

Check Subscriber Exists

Tool to check if a subscriber exists in a Doppler account by their email.

Create Account Subscriber

Tool to create or associate a subscriber to a Doppler account with optional list memberships.

Unsubscribe Subscriber

Tool to mark a subscriber as unsubscribed (removed) in an account.

Create List

Tool to create a new subscriber list for a specified account.

Delete List

Tool to delete a specific subscriber list by its ID.

Get Account

Tool to retrieve account details and available action links for a specific Doppler account.

Get API Index

Tool to retrieve the API index with available actions and links.

Get Campaign

Tool to retrieve details of a specific campaign by campaign ID.

Get Campaign Content

Tool to retrieve the HTML content of a campaign email.

Get Campaigns

Tool to retrieve all campaigns associated with the specified account.

Get Campaign Social Media Preferences

Tool to retrieve social media configuration for a specific campaign.

Get List

Tool to retrieve details of a specific subscriber list by its ID.

Get Lists

Tool to retrieve all lists associated with a specified Doppler account.

Get Removed Subscribers

Tool to retrieve subscribers removed from all lists.

Get Subscriber

Tool to retrieve details of a specific subscriber by their email.

Get Subscriber Permissions History

Tool to retrieve the update history of a permission field for a specific subscriber.

Get Subscribers

Tool to retrieve all subscribers of a specific list.

Get Task

Tool to retrieve details of a specific task by its ID.

Import Subscribers

Tool to import multiple subscribers into a specific list in bulk.

Import Subscribers from CSV

Tool to import subscribers from CSV data into a specific list.

Import Subscribers To Account

Tool to import multiple subscribers into an account.

Import Unsubscribed Subscribers

Tool to import a batch of unsubscribed (removed) subscribers for a Doppler account.

List Account Fields

Tool to retrieve all custom fields for a Doppler account.

List Account Subscribers

Tool to retrieve paginated subscribers of a Doppler account.

List Accounts Tasks

Tool to retrieve a paginated collection of tasks linked to a specific account.

List Import Errors

Tool to retrieve errors from a specific import task.

List Accounts Unsubscribed

Tool to retrieve a paginated collection of subscribers who have unsubscribed from your lists.

List Automations

Tool to retrieve all automations for a specified Doppler account.

List Campaign Recipients

Tool to retrieve recipients (lists and segments) of a specific campaign.

List Subscriber Deliveries

Tool to retrieve delivery details of all campaigns sent to a specific subscriber.

Remove Subscriber

Tool to remove a specific subscriber from a list.

Update Account Integration

Tool to create or update a third-party app integration for a Doppler account.

Update Campaign Recipients

Tool to update the recipients (lists and/or segments) of a campaign.

Update Campaign Social Media

Tool to update social media preferences for a campaign.

Update Campaign Text Alternative

Tool to update the alternative text content of a campaign.

Update Double Opt-in Template Content

Tool to update the HTML content of a double opt-in validation template.

Update List

Tool to update details of an existing subscriber list.

FAQ

Frequently asked questions

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

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

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