How to integrate Mailcoach MCP with Mastra AI

This guide walks you through connecting Mailcoach to Mastra AI using the Composio tool router. By the end, you'll have a working Mailcoach agent that can create a new email campaign for product launch, add a subscriber to the weekly newsletter list, tag all subscribers interested in webinars through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Mailcoach account through Composio's Mailcoach MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Mailcoach is an email marketing platform for managing campaigns and subscribers. It helps you reach your audience efficiently with streamlined email delivery and automation.

56 Tools

Introduction

This guide walks you through connecting Mailcoach to Mastra AI using the Composio tool router. By the end, you'll have a working Mailcoach agent that can create a new email campaign for product launch, add a subscriber to the weekly newsletter list, tag all subscribers interested in webinars through natural language commands.

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

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

Also integrate Mailcoach with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKLlamaIndexCrewAI

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 Mailcoach tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Mailcoach 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 Mailcoach 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 Mailcoach MCP server, and what's possible with it?

The Mailcoach MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Mailcoach account. It provides structured and secure access to your email marketing platform, so your agent can manage campaigns, organize subscriber lists, create templates, and automate email workflows on your behalf.

  • Email campaign creation and scheduling: Direct your agent to launch new campaigns, send emails to specific lists, or set up campaign schedules based on your marketing needs.
  • Subscriber list and segmentation management: Let your agent create new email lists, add or confirm subscribers, and apply tags for better audience segmentation and targeting.
  • Template management and customization: Instruct your agent to create, update, or organize reusable email templates and transactional templates for efficient campaign building.
  • Automated suppression and bounce handling: Have your agent add suppressions for bounced or blocked addresses, keeping your lists clean and compliant with deliverability best practices.
  • Bulk subscriber import and data enrichment: Enable your agent to import subscribers via CSV, append new data to existing imports, and streamline growth of your contact lists.

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 step09 STEPS
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
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Mailcoach through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

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
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_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 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
5

Import libraries and validate environment

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,
});
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
6

Create a Tool Router session for Mailcoach

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

  const composioMCPUrl = session.mcp.url;
  console.log("Mailcoach MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "mailcoach" for Mailcoach access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

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);
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 Mailcoach toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "mailcoach-mastra-agent",
    instructions: "You are an AI agent with Mailcoach tools via Composio.",
    model: "openai/gpt-5",
  });
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
9

Set up interactive chat interface

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: {
        mailcoach: 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);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Mailcoach 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

Complete Code

Here's the complete code to get you started with Mailcoach and Mastra AI:

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: ["mailcoach"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "mailcoach-mastra-agent",
    instructions: "You are an AI agent with Mailcoach 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: { mailcoach: 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 Mailcoach 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
TOOLS

Supported Tools

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

Add Mailcoach Campaign

Tool to create a new Mailcoach campaign.

Add Email List

Tool to create a new email list.

Add suppression

Tool to add a suppression entry.

Add Tag to Email List

Tool to create a new tag within a specific email list.

Add Tags to Subscriber

Add tags to a subscriber for segmentation and targeting.

Add Transactional Email Template

Creates a new email template in Mailcoach via POST /api/templates.

Append to Subscriber Import

Tool to append CSV data to an existing subscriber import.

Confirm Subscriber

Confirm a subscriber's subscription to an email list (double opt-in confirmation).

Create Segment for Email List

Tool to create a new segment within an email list.

Create Subscriber Import

Creates a new subscriber import in Mailcoach.

Delete Campaign

Tool to delete a campaign by UUID.

Delete Email List

Tool to delete an email list by UUID.

Delete Segment from Email List

Tool to delete a segment from an email list.

Delete Subscriber

Permanently delete a subscriber by UUID from Mailcoach.

Delete Subscriber Import

Tool to delete a subscriber import by its UUID.

Delete Suppression

Tool to delete a suppression entry by UUID.

Delete Tag from Email List

Tool to delete a tag from an email list.

Delete Template

Tool to delete a template by UUID.

Delete Transactional Mail

Tool to delete a transactional mail send record by its UUID.

Get All Campaigns

Tool to retrieve all campaigns.

Get All Sent Items

Tool to retrieve all sent items.

Get All Subscriber Imports

Tool to retrieve all subscriber imports.

Get All Suppressions

Retrieve a paginated list of all email suppression entries from Mailcoach.

Get All Tags

Tool to retrieve all tags for a specific email list.

Get All Templates

Tool to retrieve all templates.

Get All Transactional Email Templates

Tool to retrieve all transactional email templates.

Get Campaign Bounces

Tool to retrieve bounced subscribers of a sent campaign with pagination support.

Get Campaign Clicks

Tool to retrieve clicks from a sent campaign with pagination support.

Get Campaign Opens

Tool to retrieve all opens for a sent campaign with pagination support.

Get Campaign Unsubscribes

Tool to retrieve unsubscribes from a sent campaign with pagination support.

Get Email Lists

Tool to retrieve all email lists.

Get Segment

Tool to retrieve details of a specific segment.

Get Specific Campaign

Tool to retrieve details of a specific Mailcoach campaign.

Get Specific Email List

Retrieve detailed information about a specific Mailcoach email list by its UUID.

Get Specific Subscriber

Tool to retrieve a specific subscriber.

Get Specific Suppression

Tool to retrieve a specific suppression entry.

Get Specific Tag

Tool to retrieve details of a specific tag.

Get Specific Template

Retrieves the full details of a specific Mailcoach email template by its UUID.

Get Subscriber Import

Tool to retrieve details of a specific subscriber import by UUID.

Get Transactional Mail

Tool to retrieve details of a specific transactional email by its UUID.

Get User

Tool to retrieve details of the currently authenticated user.

List Segments

Tool to retrieve all segments for a specific email list.

List Subscribers

Tool to list all subscribers from a specific email list with pagination support.

List Transactional Mails

Tool to retrieve all transactional email records.

Remove Tags from Subscriber

Tool to remove tags from a subscriber.

Resend Subscriber Confirmation

Tool to resend confirmation email to a subscriber.

Start Subscriber Import

Starts processing a subscriber import that is in 'draft' status.

Subscribe To Email List

Subscribe (or update) a subscriber to an email list.

Unsubscribe Subscriber

Unsubscribe a subscriber from their email list in Mailcoach.

Update Campaign

Tool to update an existing Mailcoach campaign.

Update Email List

Tool to update an existing email list.

Update Segment

Tool to update an existing segment within an email list.

Update Subscriber

Tool to update a subscriber.

Update Subscriber Import

Tool to update an existing subscriber import.

Update Tag

Tool to update an existing tag within an email list.

Update Template

Updates an existing email template in Mailcoach.

FRAMEWORKS

How to build Mailcoach MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Mailcoach MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Mailcoach MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Mailcoach MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Mailcoach MCP with Claude Cowork

Codex logo

Codex

Use Mailcoach MCP with Codex

OpenClaw logo

OpenClaw

Use Mailcoach MCP with OpenClaw

Hermes logo

Hermes

Use Mailcoach MCP with Hermes

CLI logo

CLI

Use Mailcoach MCP with CLI

Google ADK logo

Google ADK

Use Mailcoach MCP with Google ADK

LangChain logo

LangChain

Use Mailcoach MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Mailcoach MCP with Vercel AI SDK

LlamaIndex logo

LlamaIndex

Use Mailcoach MCP with LlamaIndex

CrewAI logo

CrewAI

Use Mailcoach MCP with CrewAI

FAQ

Frequently asked questions

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

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 Mailcoach tools.

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

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Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

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CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

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Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

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Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

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Co-Founder, Ingram Technologies