# How to integrate Unione MCP with Autogen

```json
{
  "title": "How to integrate Unione MCP with Autogen",
  "toolkit": "Unione",
  "toolkit_slug": "unione",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/unione/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/unione/framework/autogen.md",
  "updated_at": "2026-05-06T08:32:44.085Z"
}
```

## Introduction

This guide walks you through connecting Unione to AutoGen using the Composio tool router. By the end, you'll have a working Unione agent that can check your current unione email balance, cancel a scheduled email by job id, list all sender domains and their status through natural language commands.
This guide will help you understand how to give your AutoGen 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.

## Also integrate Unione with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the required dependencies for Autogen and Composio
- Initialize Composio and create a Tool Router session for Unione
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Unione tools
- Run a live chat loop where you ask the agent to perform Unione operations

## What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.
Key features include:
- Multi-Agent Systems: Build collaborative agent workflows
- MCP Workbench: Native support for Model Context Protocol tools
- Streaming HTTP: Connect to external services through streamable HTTP
- AssistantAgent: Pre-built agent class for tool-using assistants

## 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

| Tool slug | Name | Description |
|---|---|---|
| `UNIONE_EMAIL_BALANCE` | UniOne Email Balance | Tool to retrieve current account balance. use when you need to check your email usage and limits before sending large campaigns. |
| `UNIONE_EMAIL_CANCEL` | Cancel Scheduled Email | Tool to cancel a scheduled transactional email by its job id. use when you need to stop a pending email send before it's dispatched. |
| `UNIONE_EMAIL_DOMAIN` | UniOne Email Domain Management | Tool to manage sender domains in unione. use when you need dns records for verification, trigger verification or dkim checks, list domains, or delete a domain. |
| `UNIONE_EMAIL_EVENT_GET` | Get Email Event | Tool to retrieve details of a specific email event by its id. use when you need event information for auditing or diagnostics. |
| `UNIONE_EMAIL_EVENT_TYPES` | UniOne Email Event Types | Tool to retrieve supported email event types. use when you need a list of possible event codes for filtering or analytics. |
| `UNIONE_EMAIL_GET` | Get Email Send Job | Tool to retrieve detailed information about a specific email send job. use when you need its delivery metrics and history. |
| `UNIONE_EMAIL_LIST` | UniOne Email List (Export) | Tool to export email events within a specified time frame. it creates an asynchronous event dump which can later be downloaded and parsed using unione event dump get. |
| `UNIONE_EMAIL_LOG` | UniOne Email Event Log | Tool to initiate an asynchronous export of email events (event dump). use when you need to export transactional email events for a specified time window. |
| `UNIONE_EMAIL_PLAN` | UniOne Email Plan | Tool to retrieve current subscription plan details. use when you need to check your project and account plan limits before sending bulk emails. |
| `UNIONE_EMAIL_PRICING` | UniOne Email Pricing | Tool to retrieve current email pricing. use when you need to check per-email cost rates before sending emails. |
| `UNIONE_EMAIL_QUOTA` | UniOne Email Quota | Tool to retrieve current email sending quota. use when you need to check your remaining quota before sending emails. |
| `UNIONE_EMAIL_RESEND` | Resend Sent Email | Tool to resend a previously sent email by its job id. use when you need to trigger a resend of an email that has already been sent and you have the original job id. |
| `UNIONE_EMAIL_RESUBSCRIBE` | UniOne Email Resubscribe | Tool to resubscribe a recipient who previously unsubscribed. use when you need to restore a user's subscription status after they opt in again. |
| `UNIONE_EMAIL_RESUME` | Resume Paused Email | Tool to resume a paused transactional email by its job id. use when you need to restart a paused pending email send. |
| `UNIONE_EMAIL_SCHEDULE` | UniOne Email Schedule | Tool to schedule a transactional email up to 24 hours ahead. use when you need to send an email at a specific future time. |
| `UNIONE_EMAIL_SMTP` | UniOne Email SMTP Configuration | Tool to retrieve smtp server details and credentials. use when you need to configure your mail client or library for smtp sending. |
| `UNIONE_EMAIL_STATISTICS` | UniOne Email Statistics | Tool to retrieve email sending statistics over a specified time range. this action uses unione's event-dump aggregate api under the hood to compute daily statistics. |
| `UNIONE_EMAIL_UNSUBSCRIBE` | UniOne Email Unsubscribe | Tool to unsubscribe an email from future emails. use when you need to stop all further transactional emails. |
| `UNIONE_EMAIL_VALIDATE` | Validate Email Address | Tool to validate an email address. use when you need deliverability diagnostics after compiling your recipient list. |
| `UNIONE_EMAIL_VALIDATE_BATCH` | Batch Email Validation | Tool to validate multiple email addresses in a batch. use when you need to verify deliverability for a list of emails at once. |
| `UNIONE_EMAIL_VALIDATE_RESEND` | Resend Email Validation Results | Tool to resend results of an email validation request. use when you need to retrieve validation results again by request id. |
| `UNIONE_EMAIL_VALIDATE_RESULT` | UniOne Email Validate Result | Tool to retrieve the detailed result of an email validation request. updated behavior: uses the official single email validation endpoint to synchronously obtain full diagnostics for the provided email address. |
| `UNIONE_EMAIL_VALIDATE_RETRY` | Retry Email Validation | Tool to retry an email validation request. updated to re-run validation via the official single validation endpoint using the provided email address. |
| `UNIONE_EMAIL_VALIDATE_STATUS` | UniOne Email Validate Status | Tool to retrieve the current status of an email validation request. use when you need to poll for completion status. |
| `UNIONE_EMAIL_WEBHOOK_TYPES` | UniOne Email Webhook Types | Tool to retrieve supported email webhook event types. use when configuring your webhook callbacks. |
| `UNIONE_EVENT_DUMP_CREATE` | Create Event Dump | Tool to create an asynchronous csv event dump. use when you need to export transactional email events for a specified time window. |
| `UNIONE_EVENT_DUMP_LIST` | UniOne Event Dump List | Tool to retrieve the full list of event dumps. use when you need to view all existing event-dump tasks. |
| `UNIONE_SCHEDULE_EMAIL` | Schedule Email | Tool to schedule a transactional email up to 24 hours ahead. use when you need to send an email at a specific future time. |
| `UNIONE_SUPPRESSION_LIST` | Suppression List | Tool to return the suppression list since a given date. use when auditing bounced, unsubscribed, or blocked recipients. |
| `UNIONE_TAG_DELETE` | Delete Tag | Tool to delete a specific tag. use when you have confirmed the tag id you wish to remove. |
| `UNIONE_TAG_LIST` | UniOne Tag List | Tool to retrieve all user-defined tags. use when you need to fetch the full list of tags after authentication. |
| `UNIONE_TEMPLATE_LIST` | UniOne Template List | Tool to list email templates. use when you need to retrieve available templates for transactional emails. |
| `UNIONE_TEMPLATE_SET` | Set Template | Tool to set or update an email template. use when you need to create or modify transactional email templates before sending messages. |
| `UNIONE_UNIONE_EMAIL_VALIDATE_DELETE` | Delete Email Validation Request | Tool to delete an email validation request. use when a validation job should be canceled by its id. |
| `UNIONE_UNIONE_EVENT_DUMP_GET` | Get Event Dump | Tool to retrieve the contents of a specific event dump. use when you have the dump identifier (from event-dump/create) and need its status and download urls. |
| `UNIONE_WEBHOOK_SET` | Set Webhook | Tool to set or edit a webhook event notification handler. use when you need to configure your webhook for event callbacks. |

## Supported Triggers

None listed.

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

The Unione MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Unione. Instead of manually wiring Unione APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
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

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Unione account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 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

Install Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Unione via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

Create a .env file in your project folder.
What's happening:
- COMPOSIO_API_KEY is required to talk to Composio
- OPENAI_API_KEY is used by Autogen's OpenAI client
- USER_ID is how Composio identifies which user's Unione connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Unione tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async 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
```

### 5. Configure MCP parameters for Autogen

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.
What's happening:
- url points to the Tool Router MCP endpoint from Composio
- timeout is the HTTP timeout for requests
- sse_read_timeout controls how long to wait when streaming responses
- terminate_on_close=True cleans up the MCP server process when the workbench is closed
```python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Unione tools from the workbench
```python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Unione assistant agent with MCP tools
    agent = AssistantAgent(
        name="unione_assistant",
        description="An AI assistant that helps with Unione operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Unione tools to call via MCP
- agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
- Typing exit, quit, or bye ends the loop
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Unione related question or task to the agent.\n")

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

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

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async 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 MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Unione assistant agent with MCP tools
        agent = AssistantAgent(
            name="unione_assistant",
            description="An AI assistant that helps with Unione operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Unione related question or task to the agent.\n")

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

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

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

## Conclusion

You now have an Autogen assistant wired into Unione through Composio's Tool Router and MCP. From here you can:
- Add more toolkits to the toolkits list, for example notion or hubspot
- Refine the agent description to point it at specific workflows
- Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Unione, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Unione MCP Agent with another framework

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

## Related Toolkits

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- [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.
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- [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.
- [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.
- [Doppler marketing automation](https://composio.dev/toolkits/doppler_marketing_automation) - Doppler marketing automation is a platform for creating, sending, and tracking email campaigns. It helps you automate marketing workflows and manage subscriber lists for better engagement.
- [Dripcel](https://composio.dev/toolkits/dripcel) - Dripcel is a cloud-based SMS marketing platform powered by AI and machine learning. It helps businesses automate and optimize customer text campaigns for higher engagement.
- [Dub](https://composio.dev/toolkits/dub) - Dub is a short link management platform with analytics and API access. Use it to easily create, manage, and track branded short links for your business.

## Frequently Asked Questions

### 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 Autogen?

Yes, you can. Autogen 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.

---
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