# How to integrate Unisender MCP with Autogen

```json
{
  "title": "How to integrate Unisender MCP with Autogen",
  "toolkit": "Unisender",
  "toolkit_slug": "unisender",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/unisender/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/unisender/framework/autogen.md",
  "updated_at": "2026-03-29T06:54:16.935Z"
}
```

## Introduction

This guide walks you through connecting Unisender to AutoGen using the Composio tool router. By the end, you'll have a working Unisender agent that can send an sms campaign to new signups, create a new email list segment, check status of yesterday's email campaign through natural language commands.
This guide will help you understand how to give your AutoGen agent real control over a Unisender account through Composio's Unisender MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Unisender with

- [OpenAI Agents SDK](https://composio.dev/toolkits/unisender/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/unisender/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/unisender/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/unisender/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/unisender/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/unisender/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/unisender/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/unisender/framework/cli)
- [Google ADK](https://composio.dev/toolkits/unisender/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/unisender/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/unisender/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/unisender/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/unisender/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/unisender/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 Unisender
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Unisender tools
- Run a live chat loop where you ask the agent to perform Unisender 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 Unisender MCP server, and what's possible with it?

The Unisender MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Unisender account. It provides structured and secure access so your agent can perform Unisender operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `UNISENDER_CHECK_EMAIL` | Check Email Status | Tool to check the delivery status of emails sent via sendEmail method. Use when you need to verify email delivery status by email IDs. Statuses are stored for approximately one month. Rate limited to 300 requests per 60 seconds. |
| `UNISENDER_CREATE_EMAIL_TEMPLATE` | Create Email Template | Tool to create a new email template for mass campaigns in UniSender. Use when you need to create a reusable email template with customizable title, subject, body content, and sender information. |
| `UNISENDER_CREATE_FIELD` | Create Field | Tool to create a new custom field for contact data in UniSender. Use when you need to add a custom field that can store additional contact information and be used in email message substitutions. |
| `UNISENDER_CREATE_LIST` | Create List | Tool to create a new contact list for organizing thematic email campaigns in UniSender. Use when you need to create a new mailing list with a unique title. The list title must be unique within the account. |
| `UNISENDER_CREATE_SUBSCRIBER_NOTE` | Create Subscriber Note | Tool to create a note for a subscriber contact in UniSender. Use when you need to add a new note to a subscriber's profile. Notes created via API have an 'origin' field set to 'api'. |
| `UNISENDER_DELETE_FIELD` | Delete Field | Tool to remove a custom field from the Unisender system. Use when you need to permanently delete a custom field and all its associated contact data. |
| `UNISENDER_DELETE_LIST` | Delete List | Tool to permanently delete a contact list from your UniSender account. Use when you need to remove a mailing list by its ID. |
| `UNISENDER_DELETE_SUBSCRIBER_NOTE` | Delete Subscriber Note | Tool to delete a subscriber note from UniSender by its ID. Use when you need to remove a note associated with a subscriber/contact from the system. |
| `UNISENDER_DELETE_TAG` | Delete Tag | Tool to delete a tag by its ID and remove it from all associated contacts. Use when you need to remove a tag from your UniSender account. |
| `UNISENDER_DELETE_TEMPLATE` | Delete Template | Tool to remove a template from the UniSender account. Use when you need to permanently delete a template by its ID. |
| `UNISENDER_EXCLUDE_CONTACT_FROM_LISTS` | Exclude Contact from Lists | Tool to remove contacts from specified lists or all lists in UniSender. Use when you need to exclude a contact (email or phone) from mailing lists. Unlike unsubscribe, exclude actually removes the contact from lists, allowing them to be re-added later using the subscribe method. Recommended when subscription management is performed by sender's initiative. |
| `UNISENDER_EXPORT_CONTACTS` | Export Contacts | Tool to export contact data from UniSender lists for synchronization. Use when you need to export email addresses, phone numbers, and custom fields from lists. This method works asynchronously - the response contains a task_uuid for tracking export status. |
| `UNISENDER_GET_CAMPAIGNS` | Get Campaigns | Tool to retrieve list of campaigns from Unisender within a specified date range. Use when you need to fetch email campaign information with optional filtering by date and pagination support. Returns up to 10,000 campaigns per request. |
| `UNISENDER_GET_CAMPAIGN_STATUS` | Get Campaign Status | Tool to check the current status of a campaign in UniSender. Use when you need to verify campaign progress or completion status. Returns detailed status information including creation time and start time. |
| `UNISENDER_GET_CONTACT` | Get Contact | Tool to get information about a single contact from UniSender. Use when you need to retrieve detailed contact data including email/phone status, custom fields, list memberships, and engagement statistics. Either email or contact_id must be provided. |
| `UNISENDER_GET_CONTACT_FIELD_VALUES` | Get Contact Field Values | Tool to retrieve custom field values for a specific contact identified by email address. Use when you need to get additional field data associated with a contact. You can optionally specify which fields to retrieve by providing field IDs. |
| `UNISENDER_GET_FIELDS` | Get Fields | Tool to retrieve all custom user-defined fields for contact personalization and data management. Use when creating integrations to map fields between systems or to retrieve available custom fields for contacts. |
| `UNISENDER_GET_LISTS` | Get Lists | Tool to retrieve all existing mailing lists associated with the account. Use when you need to get list IDs and titles before sending emails or SMS to a list, or to display available contact lists. |
| `UNISENDER_GET_MESSAGES` | Get Messages | Tool to retrieve list of all messages with body and attachments. Use when you need complete message information including content and attachments, unlike listMessages which returns only metadata. |
| `UNISENDER_GET_SENDER_DOMAIN_LIST` | Get Sender Domain List | Tool to retrieve information about sender domains and their DKIM status. Use when you need to check which domains are registered for sending emails and their verification status. |
| `UNISENDER_GET_TAGS` | Get Tags | Tool to retrieve all custom tags/labels for contact segmentation. Use when you need to list all available tags in the Unisender account. |
| `UNISENDER_GET_TEMPLATE` | Get Template | Tool to retrieve detailed information about a specific email template by its ID. Use when you need to fetch template details including metadata, content, creation details, and formatting information. |
| `UNISENDER_GET_TEMPLATES` | Get Templates | Tool to retrieve list of all templates with full content including body. Use when you need complete template information including raw_body and body fields, unlike listTemplates which returns templates without body content. |
| `UNISENDER_IMPORT_CONTACTS_BULK` | Import Contacts (Bulk) | Tool to bulk import contacts to UniSender with maximum 500 contacts per call. Use when you need to import multiple contacts at once with their fields, list subscriptions, and tags. Supports creating new contacts, updating existing ones, and managing list subscriptions. UniSender automatically validates emails and filters spam-traps. |
| `UNISENDER_CHECK_IF_CONTACT_IS_IN_LISTS` | Check if Contact is in Lists | Tool to check if a contact exists in specified mailing lists based on and/or conditions. Use when you need to verify whether a contact is a member of specific lists. The condition parameter allows checking if the contact is in all lists (and) or at least one list (or). |
| `UNISENDER_LIST_MESSAGES` | List Messages | Tool to list all messages without body and attachments. Use when you need to browse available messages created via API or web interface. |
| `UNISENDER_LIST_TEMPLATES` | List Templates | Tool to list email templates without body content. Use when you need to browse available templates created via API or web interface. |
| `UNISENDER_SUBSCRIBE_CONTACT_TO_LISTS` | Subscribe Contact to Lists | Tool to add contacts to one or multiple mailing lists with optional tags and field values. Use when you need to subscribe a contact (email and/or phone) to Unisender lists. This method adds contacts individually and can override existing contact data based on the overwrite parameter. Contacts previously excluded can be re-added using this action. |
| `UNISENDER_UNSUBSCRIBE_CONTACT` | Unsubscribe Contact | Tool to unsubscribe contacts from mailing lists in UniSender. Use when a contact initiates opt-out from campaigns. This marks contacts as 'unsubscribed' rather than excluding them - the active status can only be restored by the contact clicking an activation link. |
| `UNISENDER_UPDATE_EMAIL_TEMPLATE` | Update Email Template | Tool to update an existing email template for mass campaigns. Use when you need to modify template properties like title, subject, body content, sender information, or language settings. Only the fields you specify will be updated. |
| `UNISENDER_UPDATE_FIELD` | Update Field | Tool to modify parameters of an existing custom field in UniSender. Use when you need to change field properties like name, display name, type, visibility, or display position. |
| `UNISENDER_UPDATE_LIST` | Update List | Tool to update the parameters of an existing contact list in UniSender. Use when you need to change the title, pre-subscription URL, or post-subscription URL of an existing mailing list. |
| `UNISENDER_UPDATE_SUBSCRIBER_NOTE` | Update Subscriber Note | Tool to update the content of an existing subscriber note in UniSender. Use when you need to edit or modify the content of a previously created note attached to a subscriber. |

## Supported Triggers

None listed.

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

The Unisender MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Unisender. Instead of manually wiring Unisender 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 Unisender 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 Unisender 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 Unisender 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 Unisender 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 Unisender session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["unisender"]
    )
    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 Unisender 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 Unisender assistant agent with MCP tools
    agent = AssistantAgent(
        name="unisender_assistant",
        description="An AI assistant that helps with Unisender 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 Unisender 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 Unisender 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 Unisender session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["unisender"]
    )
    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 Unisender assistant agent with MCP tools
        agent = AssistantAgent(
            name="unisender_assistant",
            description="An AI assistant that helps with Unisender 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 Unisender 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 Unisender 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 Unisender, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Unisender MCP Agent with another framework

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

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- [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.
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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.
- [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.
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- [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 Unisender MCP?

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

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

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

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