# How to integrate Mailsoftly MCP with CrewAI

```json
{
  "title": "How to integrate Mailsoftly MCP with CrewAI",
  "toolkit": "Mailsoftly",
  "toolkit_slug": "mailsoftly",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/mailsoftly/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/mailsoftly/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:18:23.464Z"
}
```

## Introduction

This guide walks you through connecting Mailsoftly to CrewAI using the Composio tool router. By the end, you'll have a working Mailsoftly agent that can verify if your mailsoftly api key is valid, check our company profile details on mailsoftly, confirm mailsoftly account credentials before sending campaign through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Mailsoftly account through Composio's Mailsoftly MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Mailsoftly with

- [OpenAI Agents SDK](https://composio.dev/toolkits/mailsoftly/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/mailsoftly/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/mailsoftly/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/mailsoftly/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/mailsoftly/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/mailsoftly/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/mailsoftly/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/mailsoftly/framework/cli)
- [Google ADK](https://composio.dev/toolkits/mailsoftly/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/mailsoftly/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/mailsoftly/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/mailsoftly/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/mailsoftly/framework/llama-index)

## TL;DR

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

The Mailsoftly MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Mailsoftly account. It provides structured and secure access to your email marketing platform, so your agent can validate credentials, access firm information, and streamline campaign setup for you.
- API key authentication validation: Have your agent confirm your API key is working and securely connected before taking further actions.
- Retrieve firm details: Instantly pull details about your Mailsoftly organization to verify account information or tailor campaign strategies.
- Credential troubleshooting automation: Let your agent proactively diagnose and report authentication issues, making onboarding and integration smoother.
- Foundational checks for workflow automation: Use the agent to verify Mailsoftly connection status as the first step in building automated campaign flows.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `MAILSOFTLY_ADD_CONTACT_TO_CONTACT_LIST` | Add Contact to Contact List | Tool to add an existing contact to a specific contact list. Use when you need to add a contact to a contact list in Mailsoftly. |
| `MAILSOFTLY_ADD_CUSTOM_FIELD_TO_CONTACT` | Add Custom Field to Contact | Tool to add a custom field value to an existing contact. Use when you need to store additional custom data on a contact record. |
| `MAILSOFTLY_ASSIGN_TAGS_TO_CONTACT` | Assign Tags to Contact | Tool to assign multiple tags to an existing contact at once. Skips tags if they are already assigned to the contact. Use when you need to categorize or label a contact with one or more tags in Mailsoftly. |
| `MAILSOFTLY_AUTHENTICATE_FIRM` | Authenticate Firm | Tool to validate the API key and retrieve firm details. Use when confirming credentials before making other Mailsoftly API calls. |
| `MAILSOFTLY_CREATE_CONTACT` | Create Contact | Tool to create a new contact for the authenticated firm with email, first name, and last name. Use when adding new contacts to the firm's contact list. |
| `MAILSOFTLY_CREATE_CONTACT_LIST` | Create Contact List | Tool to create a new contact list for the authenticated firm. Use when organizing contacts into separate lists for targeted campaigns. |
| `MAILSOFTLY_CREATE_EMAILS` | Create Email Drafts | Tool to create one or more email drafts in Mailsoftly. Use when drafting emails for campaigns or communications. If contact_list_id is not provided, the system automatically creates a contact list from the provided recipients. |
| `MAILSOFTLY_CREATE_OR_UPDATE_CONTACT` | Create or Update Contact | Tool to create a new contact or update an existing contact in Mailsoftly. Use when you need to add a new contact to the system or update an existing contact's information. If contact_id is provided, the existing contact will be updated; otherwise, a new contact will be created. |
| `MAILSOFTLY_GET_CONTACT` | Get Contact | Tool to retrieve a specific contact by ID from Mailsoftly. Use when you need to fetch details about a specific contact. You can choose between basic or detailed view using the type parameter. |
| `MAILSOFTLY_GET_CONTACT_FIELDS` | Get Contact Fields | Tool to fetch all contact fields available for a firm, excluding hidden columns. Use when you need to retrieve the list of available contact field names and their data types. |
| `MAILSOFTLY_GET_CONTACT_LIST` | Get Contact List | Tool to retrieve details of a specific contact list by ID. Use when you need to fetch information about a contact list including its name and contact count. |
| `MAILSOFTLY_GET_CONTACT_LIST_CONTACTS` | Get Contact List Contacts | Tool to retrieve all contacts within a specific contact list. Use when you need to fetch the members of a particular contact list. |
| `MAILSOFTLY_GET_CONTACT_LISTS` | Get Contact Lists | Tool to retrieve all contact lists for the authenticated firm. Use when you need to view all available contact lists and their details. |
| `MAILSOFTLY_GET_CONTACTS` | Get Contacts | Tool to retrieve all contacts associated with a firm. Use when you need to fetch the complete list of contacts from Mailsoftly. |
| `MAILSOFTLY_GET_CUSTOM_FIELDS` | Get Custom Fields | Tool to retrieve all custom fields defined for the authenticated firm. Use when you need to understand what custom field options are available for contacts in Mailsoftly. |
| `MAILSOFTLY_GET_EMAIL_STATUS` | Get Email Status | Tool to fetch the status of a specific email draft by its ID. Use when checking if a draft is ready to send or to get its current status. |
| `MAILSOFTLY_GET_TAGS` | Get Tags | Tool to retrieve all tags associated with the authenticated firm. Use when you need to list available tags for organizing contacts or campaigns. |
| `MAILSOFTLY_SEARCH_CONTACTS` | Search Contacts | Tool to search for contacts matching specified criteria in Mailsoftly. Use when you need to find contacts by email, first name, or last name. At least one search parameter should be provided for meaningful results. |
| `MAILSOFTLY_SEND_EMAIL` | Send Email | Tool to send an existing email draft that is marked as ready. Use when you need to send a prepared email draft via Mailsoftly. |
| `MAILSOFTLY_UPDATE_CONTACT` | Update Contact | Tool to update an existing contact's information in Mailsoftly. Use when you need to modify contact details such as name or email address. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Mailsoftly MCP server is an implementation of the Model Context Protocol that connects your AI agent to Mailsoftly. It provides structured and secure access so your agent can perform Mailsoftly operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

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

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

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

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**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 Mailsoftly MCP URL
```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")
```

### 5. Create a Composio Tool Router session for Mailsoftly

**What's happening:**
- You create a Mailsoftly only session through Composio
- Composio returns an MCP HTTP URL that exposes Mailsoftly tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["mailsoftly"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**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.
```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,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**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.
```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")
```

## Complete Code

```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=["mailsoftly"],
)
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 Mailsoftly through Composio's Tool Router. The agent can perform Mailsoftly 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

## How to build Mailsoftly MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/mailsoftly/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/mailsoftly/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/mailsoftly/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/mailsoftly/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/mailsoftly/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/mailsoftly/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/mailsoftly/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/mailsoftly/framework/cli)
- [Google ADK](https://composio.dev/toolkits/mailsoftly/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/mailsoftly/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/mailsoftly/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/mailsoftly/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/mailsoftly/framework/llama-index)

## Related Toolkits

- [Reddit](https://composio.dev/toolkits/reddit) - Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing.
- [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages.
- [Linkedin](https://composio.dev/toolkits/linkedin) - LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections.
- [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach.
- [ActiveTrail](https://composio.dev/toolkits/active_trail) - ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease.
- [Ahrefs](https://composio.dev/toolkits/ahrefs) - Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic.
- [Amcards](https://composio.dev/toolkits/amcards) - AMCards lets you create and mail personalized greeting cards online. Build stronger customer relationships with easy, automated card campaigns.
- [Beamer](https://composio.dev/toolkits/beamer) - Beamer is a news and changelog platform for in-app announcements and feature updates. It helps companies boost user engagement by sharing news where users are most active.
- [Benchmark email](https://composio.dev/toolkits/benchmark_email) - Benchmark Email is a platform for creating, sending, and tracking email campaigns. It's built to help you engage audiences and analyze results—all in one place.
- [Bigmailer](https://composio.dev/toolkits/bigmailer) - BigMailer is an email marketing platform for managing multiple brands with white-labeling and automation. It helps teams streamline campaigns and simplify integration with Amazon SES.
- [Brandfetch](https://composio.dev/toolkits/brandfetch) - Brandfetch is an API that delivers company logos, colors, and visual branding assets. It helps marketers and developers keep brand visuals consistent everywhere.
- [Brevo](https://composio.dev/toolkits/brevo) - Brevo is an all-in-one email and SMS marketing platform for transactional messaging, automation, and CRM. It helps businesses engage customers and streamline communications through powerful campaign tools.
- [Campayn](https://composio.dev/toolkits/campayn) - Campayn is an email marketing platform for creating, sending, and managing campaigns. It helps businesses engage contacts and grow audiences with easy-to-use tools.
- [Cardly](https://composio.dev/toolkits/cardly) - Cardly is a platform for creating and sending personalized direct mail to customers. It helps businesses break through the digital clutter by getting real engagement via physical mailboxes.
- [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management.
- [Crustdata](https://composio.dev/toolkits/crustdata) - CrustData is an AI-powered data intelligence platform for real-time company and people data. It helps B2B sales teams, AI SDRs, and investors react to live business signals.
- [Curated](https://composio.dev/toolkits/curated) - Curated is a platform for collecting, curating, and publishing newsletters. It streamlines content aggregation and distribution for creators and teams.
- [Customerio](https://composio.dev/toolkits/customerio) - Customer.io is a customer engagement platform for targeted messaging across email, SMS, and push. Easily automate, segment, and track communications with your audience.
- [Cutt ly](https://composio.dev/toolkits/cutt_ly) - Cutt.ly is a URL shortening service for managing and analyzing links. Streamline your workflows with quick, trackable, and branded short URLs.
- [Demio](https://composio.dev/toolkits/demio) - Demio is webinar software built for marketers, offering both live and automated sessions with interactive features. It helps teams engage audiences and optimize lead generation through detailed analytics.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Mailsoftly MCP?

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

### Can I use Tool Router MCP with CrewAI?

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 Mailsoftly tools.

### Can I manage the permissions and scopes for Mailsoftly while using Tool Router?

Yes, absolutely. You can configure which Mailsoftly 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.

### How safe is my data with Composio Tool Router?

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 Mailsoftly data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
