How to integrate Sequenzy MCP with Autogen

This guide walks you through connecting Sequenzy to AutoGen using the Composio tool router. By the end, you'll have a working Sequenzy agent that can list your campaigns and sequences, browse subscribers, review email metrics, and manage tags through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Sequenzy account through Composio's Sequenzy MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Sequenzy is an email marketing and automation platform for subscribers, campaigns, sequences, transactional email, analytics, and workspace resources. Use it to manage lifecycle email, audience growth, and performance tracking from one place.

10 Tools

Introduction

This guide walks you through connecting Sequenzy to AutoGen using the Composio tool router. By the end, you'll have a working Sequenzy agent that can list your campaigns and sequences, browse subscribers, review email metrics, and manage tags through natural language commands.

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

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

Also integrate Sequenzy with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

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 Sequenzy
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Sequenzy tools
  • Run a live chat loop where you ask the agent to perform Sequenzy 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 Sequenzy MCP server, and what's possible with it?

The Sequenzy MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Sequenzy account. It provides structured and secure access to your subscribers, campaigns, sequences, templates, tags, lists, and email metrics, so your agent can review audiences, inspect marketing activity, find reusable content, manage tags, and analyze email performance on your behalf.

  • Subscriber and audience review: Have your agent search subscribers, retrieve individual profiles with memberships and recent activity, and review the lists available for audience targeting.
  • Campaign and sequence discovery: Let the agent find campaigns by delivery status or label, then inspect sequences to see whether they accept new enrollments or process existing ones.
  • Email performance analysis: Instruct your agent to review delivery and engagement totals and rates for a recent period or custom date range, with optional filters for email type or mailbox provider.
  • Template discovery: Direct your agent to find reusable email templates and campaign email content by label, including available localization details.
  • Subscriber tag management: Have your agent list available tags, create normalized tag definitions, or delete non-system tags that are no longer needed.

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

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

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

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Sequenzy account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Sequenzy via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

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 Sequenzy connections to use
5

Import dependencies and create Tool Router session

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 Sequenzy session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["sequenzy"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Sequenzy tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

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")}
)

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
7

Create the model client and agent

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 Sequenzy assistant agent with MCP tools
    agent = AssistantAgent(
        name="sequenzy_assistant",
        description="An AI assistant that helps with Sequenzy operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Sequenzy tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Sequenzy 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")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Sequenzy 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

Complete Code

Here's the complete code to get you started with Sequenzy and AutoGen:

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 Sequenzy session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["sequenzy"]
    )
    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 Sequenzy assistant agent with MCP tools
        agent = AssistantAgent(
            name="sequenzy_assistant",
            description="An AI assistant that helps with Sequenzy 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 Sequenzy 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 Sequenzy 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 Sequenzy, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Create Tag

Create a reusable subscriber tag definition; Sequenzy normalizes its name to lowercase and replaces spaces with hyphens.

Delete Tag

Permanently delete a non-system tag definition and remove it from every subscriber.

Get Email Metrics

Return workspace-wide email delivery and engagement totals and rates for a sliding window or custom range, optionally filtered by email type or mailbox provider.

Get Subscriber

Retrieve one subscriber by email with list memberships, sequence enrollments, notes, engagement totals, and recent activity.

List Campaigns

Discover campaigns in the connected workspace, optionally filtered by delivery status or label, without scheduling or sending them.

List Sequences

Discover automation sequences and inspect whether they accept new enrollments or process existing ones, without activating or enrolling anyone.

List Subscriber Lists

Return the reusable subscriber lists available for audience filtering and membership workflows.

List Subscribers

Search and filter subscribers in the connected workspace, returning one stable cursor page for audience review or export.

List Tags

Return reusable subscriber tag definitions, including which tags are protected system tags.

List Templates

Discover reusable email templates and campaign-backed email bodies by label, returning one page with localization metadata.

FRAMEWORKS

How to build Sequenzy MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Sequenzy MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Sequenzy MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Sequenzy MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Sequenzy MCP with Claude Cowork

Codex logo

Codex

Use Sequenzy MCP with Codex

OpenClaw logo

OpenClaw

Use Sequenzy MCP with OpenClaw

Hermes logo

Hermes

Use Sequenzy MCP with Hermes

CLI logo

CLI

Use Sequenzy MCP with CLI

Google ADK logo

Google ADK

Use Sequenzy MCP with Google ADK

LangChain logo

LangChain

Use Sequenzy MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Sequenzy MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Sequenzy MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Sequenzy MCP with LlamaIndex

CrewAI logo

CrewAI

Use Sequenzy MCP with CrewAI

FAQ

Frequently asked questions

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

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 Sequenzy tools.

Yes, absolutely. You can configure which Sequenzy scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Sequenzy data and credentials are handled as safely as possible.

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