How to integrate Unione MCP with CrewAI

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Introduction

This guide walks you through connecting Unione to CrewAI using the Composio tool router. By the end, you'll have a working Unione agent that can check my current unione email balance, cancel a scheduled email by job id, list all sender domains and their status, export email events from the past week through natural language commands.

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

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

TL;DR

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

The Unione MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Unione account. It provides structured and secure access to your Unione email delivery service, so your agent can send transactional or marketing emails, manage sending domains, monitor delivery events, check account balance, and automate email operations on your behalf.

  • Automated email sending and scheduling: Have your agent send transactional or marketing emails and even schedule deliveries right from your Unione account.
  • Domain verification and management: Easily manage sender domains, trigger domain verifications, and handle DNS/DKIM checks to keep your emails deliverable.
  • Event monitoring and export: Let your agent fetch specific email events, retrieve delivery metrics, or export comprehensive email event logs for auditing and analytics.
  • Account balance and plan checks: Quickly access your current email balance and subscription plan details, ensuring you stay within your sending limits.
  • Email job and pricing insights: Retrieve detailed information about specific email jobs and get up-to-date pricing for cost management before sending campaigns.

Supported Tools & Triggers

Tools
UniOne Email BalanceTool to retrieve current account balance.
Cancel Scheduled EmailTool to cancel a scheduled transactional email by its job id.
UniOne Email Domain ManagementTool to manage sender domains in unione.
Get Email EventTool to retrieve details of a specific email event by its id.
UniOne Email Event TypesTool to retrieve supported email event types.
Get Email Send JobTool to retrieve detailed information about a specific email send job.
UniOne Email List (Export)Tool to export email events within a specified time frame.
UniOne Email Event LogTool to initiate an asynchronous export of email events (event dump).
UniOne Email PlanTool to retrieve current subscription plan details.
UniOne Email PricingTool to retrieve current email pricing.
UniOne Email QuotaTool to retrieve current email sending quota.
Resend Sent EmailTool to resend a previously sent email by its job id.
UniOne Email ResubscribeTool to resubscribe a recipient who previously unsubscribed.
Resume Paused EmailTool to resume a paused transactional email by its job id.
UniOne Email ScheduleTool to schedule a transactional email up to 24 hours ahead.
UniOne Email SMTP ConfigurationTool to retrieve smtp server details and credentials.
UniOne Email StatisticsTool to retrieve email sending statistics over a specified time range.
UniOne Email UnsubscribeTool to unsubscribe an email from future emails.
Validate Email AddressTool to validate an email address.
Batch Email ValidationTool to validate multiple email addresses in a batch.
Resend Email Validation ResultsTool to resend results of an email validation request.
UniOne Email Validate ResultTool to retrieve the detailed result of an email validation request.
Retry Email ValidationTool to retry an email validation request.
UniOne Email Validate StatusTool to retrieve the current status of an email validation request.
UniOne Email Webhook TypesTool to retrieve supported email webhook event types.
Create Event DumpTool to create an asynchronous csv event dump.
UniOne Event Dump ListTool to retrieve the full list of event dumps.
Schedule EmailTool to schedule a transactional email up to 24 hours ahead.
Suppression ListTool to return the suppression list since a given date.
Delete TagTool to delete a specific tag.
UniOne Tag ListTool to retrieve all user-defined tags.
UniOne Template ListTool to list email templates.
Set TemplateTool to set or update an email template.
Delete Email Validation RequestTool to delete an email validation request.
Get Event DumpTool to retrieve the contents of a specific event dump.
Set WebhookTool to set or edit a webhook event notification handler.

What is the Composio tool router, and how does it fit here?

What is Tool Router?

Composio's Tool Router 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 Tool Router

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Tool Router works

The Tool Router 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

Prerequisites

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

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.

Install dependencies

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

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

Import dependencies

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter  # optional import if you plan to adapt tools
from composio import Composio
from dotenv import load_dotenv
import os
from crewai.mcp import MCPServerHTTP

load_dotenv()
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 Unione MCP URL

Create a Composio Tool Router session for Unione

python
composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
session = composio.create(
    user_id=os.getenv("USER_ID"),
    toolkits=["unione"],
)
url = session.mcp.url
What's happening:
  • You create a Unione only session through Composio
  • Composio returns an MCP HTTP URL that exposes Unione tools

Configure the LLM

python
llm = LLM(
    model="gpt-5-mini",
    api_key=os.getenv("OPENAI_API_KEY"),
)
What's happening:
  • CrewAI will call this LLM for planning and responses
  • You can swap in a different model if needed

Attach the MCP server and create the agent

python
toolkit_agent = Agent(
    role="Unione Assistant",
    goal="Help users interact with Unione through natural language commands",
    backstory=(
        "You are an expert assistant with access to Unione tools. "
        "You can perform various Unione operations on behalf of the user."
    ),
    mcps=[
        MCPServerHTTP(
            url=url,
            streamable=True,
            cache_tools_list=True,
            headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")},
        ),
    ],
    llm=llm,
    verbose=True,
    max_iter=10,
)
What's happening:
  • MCPServerHTTP connects the agent to the Unione MCP endpoint
  • cache_tools_list saves a tools catalog for faster subsequent runs
  • verbose helps you see what the agent is doing

Add a REPL loop with Task and Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to perform Unione operations.\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"Based on the conversation history:\n{conversation_context}\n\n"
            f"Current user request: {user_input}\n\n"
            f"Please help the user with their Unione related request."
        ),
        expected_output="A helpful response addressing the user's request",
        agent=toolkit_agent,
    )

    crew = Crew(
        agents=[toolkit_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:
  • You build a simple chat loop and keep a running context
  • Each user turn becomes a Task handled by the same agent
  • Crew executes the task and returns a response

Run the application

python
if __name__ == "__main__":
    main()
What's happening:
  • Standard Python entry point so you can run python crewai_unione_agent.py

Complete Code

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

python
# file: crewai_unione_agent.py
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter  # optional
from composio import Composio
from dotenv import load_dotenv
import os
from crewai.mcp import MCPServerHTTP

load_dotenv()

def main():
    # Initialize Composio and create a Unione session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["unione"],
    )
    url = session.mcp.url

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

    # Create Unione assistant agent
    toolkit_agent = Agent(
        role="Unione Assistant",
        goal="Help users interact with Unione through natural language commands",
        backstory=(
            "You are an expert assistant with access to Unione tools. "
            "You can perform various Unione operations on behalf of the user."
        ),
        mcps=[
            MCPServerHTTP(
                url=url,
                streamable=True,
                cache_tools_list=True,
                headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")},
            ),
        ],
        llm=llm,
        verbose=True,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Try asking the agent to perform Unione operations.\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"Based on the conversation history:\n{conversation_context}\n\n"
                f"Current user request: {user_input}\n\n"
                f"Please help the user with their Unione related request."
            ),
            expected_output="A helpful response addressing the user's request",
            agent=toolkit_agent,
        )

        crew = Crew(
            agents=[toolkit_agent],
            tasks=[task],
            verbose=False,
        )

        result = crew.kickoff()
        response = str(result)

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

if __name__ == "__main__":
    main()

Conclusion

You now have a CrewAI agent connected to Unione through Composio's Tool Router. The agent can perform Unione 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 Unione MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Unione MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Unione MCP with Claude Agent SDK

Google ADK

Google ADK

Use Unione MCP with Google ADK

LangChain

LangChain

Use Unione MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Unione MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Unione MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Unione MCP with LlamaIndex

FAQ

What are the differences in Tool Router MCP and Unione MCP?

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

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

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

Used by agents from

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