How to integrate Moosend MCP with CrewAI

This guide walks you through connecting Moosend to CrewAI using the Composio tool router. By the end, you'll have a working Moosend agent that can add new subscriber to welcome list, get all campaigns sent last month, retrieve details for summer sale campaign through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Moosend account through Composio's Moosend MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Moosend is a cloud-based, AI-powered email marketing platform for automated campaigns. Reach your audience efficiently with personalization, analytics, and powerful segmentation.

31 Tools

Introduction

This guide walks you through connecting Moosend to CrewAI using the Composio tool router. By the end, you'll have a working Moosend agent that can add new subscriber to welcome list, get all campaigns sent last month, retrieve details for summer sale campaign through natural language commands.

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

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

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TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Moosend connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Moosend
  • Build a conversational loop where your agent can execute Moosend operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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

The Moosend MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Moosend account. It provides structured and secure access to your email marketing platform, so your agent can perform actions like managing subscribers, automating campaigns, creating mailing lists, and customizing audience data on your behalf.

  • Subscriber management and segmentation: Add, update, or search for subscribers in your mailing lists, letting your agent keep your audience organized and up to date.
  • Campaign creation and analytics: Retrieve, inspect, and manage email campaigns—enabling your agent to help you monitor, review, or even clean up your marketing activities.
  • Mailing list automation: Create or delete mailing lists as needed, so your agent can reorganize or streamline your audience targeting at scale.
  • Custom fields and personalization: Build or remove custom fields in your lists, empowering the agent to personalize campaigns and collect richer subscriber data.
  • Campaign and list cleanup: Direct your agent to permanently remove campaigns or mailing lists you no longer need, keeping your marketing hub tidy and efficient.

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 step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Moosend connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
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

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Moosend via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
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 with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Moosend MCP URL
6

Create a Composio Tool Router session for Moosend

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["moosend"])

url = session.mcp.url
What's happening:
  • You create a Moosend only session through Composio
  • Composio returns an MCP HTTP URL that exposes Moosend tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with Moosend and CrewAI:

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["moosend"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Moosend through Composio's Tool Router. The agent can perform Moosend operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
TOOLS

Supported Tools

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

Add Segment Criteria

Tool to add a new criterion (rule) to a segment.

Add or Update Subscriber

Tool to add or update a subscriber in a mailing list.

Clone Campaign

Tool to clone an existing campaign, creating an exact copy with the same content and settings.

Create custom field

Tool to create a custom field in a mailing list.

Create Mailing List

Tool to create a new empty mailing list in Moosend.

Create Segment

Tool to create a new segment for a mailing list.

Delete Campaign

Permanently deletes a campaign from your Moosend account by its ID.

Delete custom field

Tool to remove a custom field definition from a mailing list.

Delete Mailing List

Tool to delete a mailing list.

Get all campaigns

Tool to retrieve a list of all campaigns in your account.

Get All Subscribers

Retrieves all subscribers from a specified mailing list, filtered by their subscription status (Subscribed, Unsubscribed, Bounced, or Removed).

Get Campaign Details

Retrieves comprehensive details about a specific campaign by its ID.

Get Campaign Stats by Location

Retrieves a detailed report of campaign opens (unique and total) by country.

Get Mailing List Details

Gets details for a given mailing list including name, member counts, status, and custom field definitions.

Get Subscriber By Email

Retrieves detailed subscriber information by email address from a specific mailing list.

List all mailing lists

Tool to get a list of your active mailing lists in your account.

List all senders

Tool to retrieve a list of all active senders in your account.

List campaigns with paging

Tool to retrieve a paginated list of all campaigns in your account with detailed information.

List Segments

Tool to get a list of all segments with their criteria for a specified mailing list.

Remove Multiple Subscribers

Tool to permanently remove multiple subscribers from a mailing list.

Schedule Campaign

Tool to schedule a campaign.

Send Campaign

Tool to send an existing draft campaign immediately.

Unschedule Campaign

Tool to unschedule a campaign.

Unsubscribe From Account

Tool to unsubscribe a subscriber from the account.

Unsubscribe from Mailing List

Tool to unsubscribe a subscriber from a specified mailing list.

Update Campaign

Tool to update a draft campaign.

Update custom field

Tool to update properties of an existing custom field in a mailing list.

Update Mailing List

Tool to update the properties of an existing mailing list.

Update Segment

Tool to update properties and criteria of an existing segment.

Update Segment Criteria

Tool to update an existing criterion in a segment.

Update Subscriber

Tool to update a subscriber in the specified mailing list.

FAQ

Frequently asked questions

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

Yes, you can. CrewAI 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 Moosend tools.

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

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