How to integrate Dynosend MCP with LangChain

This guide walks you through connecting Dynosend to LangChain using the Composio tool router. By the end, you'll have a working Dynosend agent that can add contact to newsletter audience, summarize latest campaign engagement metrics, track signup event for customer through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Dynosend account through Composio's Dynosend MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Dynosend is an email marketing platform for audiences, contacts, campaigns, transactional messages, and customer events. Use it to manage lifecycle email, track engagement, and keep customer communication organized.

18 Tools

Introduction

This guide walks you through connecting Dynosend to LangChain using the Composio tool router. By the end, you'll have a working Dynosend agent that can add contact to newsletter audience, summarize latest campaign engagement metrics, track signup event for customer through natural language commands.

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

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

Also integrate Dynosend 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 Dynosend project to Composio
  • Create a Tool Router MCP session for Dynosend
  • Initialize an MCP client and retrieve Dynosend tools
  • Build a LangChain agent that can interact with Dynosend
  • 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 Dynosend MCP server, and what's possible with it?

The Dynosend MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dynosend account. It provides structured and secure access to your audiences, contacts, campaigns, transactional messages, and customer events, so your agent can manage contacts, operate campaigns, send transactional messages, track customer activity, and maintain your blacklist on your behalf.

  • Audience and contact management: Have your agent list audiences, create or update contacts, manage tags and custom fields, find duplicate contacts, and delete contacts when required for privacy compliance.
  • Subscription and blacklist control: Let the agent subscribe or unsubscribe contacts, check whether an email is blacklisted, and add addresses to the blacklist when needed.
  • Campaign operations and insights: Direct your agent to list campaigns, review delivery and engagement results, start ready campaigns, or pause and resume campaign delivery.
  • Transactional email delivery: Instruct your agent to send configured transactional messages through your Dynosend account.
  • Customer event tracking: Have your agent record application events for contacts to keep customer activity available in Dynosend.

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 Dynosend 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 Dynosend 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: ['dynosend']
    }
);

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

Configure the agent with the MCP URL

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

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

Add Email To Blacklist

Permanently add an email address to the Dynosend blacklist.

Add Tags To Contact

Append one or more tags to a contact without replacing its existing tags.

Check Blacklist

Check whether an email address is on the connected Dynosend account's blacklist and return its timestamp and reason when available.

Create Contact

Create a contact in an audience, optionally assigning tags and audience-defined custom fields.

Delete Contact

Permanently delete one contact from an audience for GDPR/CCPA erasure.

Find Duplicate Contacts

Find contacts that use the same email address across all audiences in the connected Dynosend account.

Get Audience

Get one audience's configuration, custom-field definitions, contact information, and subscription statistics by audience UID.

Get Campaign

Get one campaign's configuration and delivery, open, click, spam, bounce, and unsubscribe insights.

Get Contact

Get one contact in an audience by contact UID or email address.

List Audiences

List audiences available to the connected Dynosend account, including the UID needed by audience and contact tools.

List Campaigns

List campaigns in the connected Dynosend account, including status and the campaign UID used by campaign tools.

List Contacts

Return one page of contacts in a Dynosend audience, including contact UIDs, subscription status, tags, and audience-defined custom-field values.

Record Contact Event

Record an application event for a contact in an audience.

Send Transactional Message

Send a configured Dynosend transactional message.

Set Campaign Delivery State

Pause a sending campaign or resume a paused campaign by setting its delivery state to paused or sending.

Set Contact Subscription Status

Set a contact's subscription status to subscribed or unsubscribed in an audience.

Start Campaign

Start a ready broadcast campaign.

Update Contact

Update a contact's email, replace its complete tag set, or set audience-defined custom fields.

FRAMEWORKS

How to build Dynosend MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Dynosend MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Dynosend MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Dynosend MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Dynosend MCP with Claude Cowork

Codex logo

Codex

Use Dynosend MCP with Codex

OpenClaw logo

OpenClaw

Use Dynosend MCP with OpenClaw

Hermes logo

Hermes

Use Dynosend MCP with Hermes

CLI logo

CLI

Use Dynosend MCP with CLI

Google ADK logo

Google ADK

Use Dynosend MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Dynosend MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Dynosend MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Dynosend MCP with LlamaIndex

CrewAI logo

CrewAI

Use Dynosend MCP with CrewAI

FAQ

Frequently asked questions

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

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

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