How to integrate Smartlead MCP with Autogen

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

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Smartlead is a sales engagement platform for cold email campaigns, leads, sending accounts, inbox activity, deliverability, prospecting, and sender provisioning. Use it to run outbound sales at scale while keeping campaign operations, replies, and sender health in one place.

19 Tools

Introduction

This guide walks you through connecting Smartlead to AutoGen using the Composio tool router. By the end, you'll have a working Smartlead agent that can list your campaigns, create draft campaigns, check delivery tests, and review email accounts through natural language commands.

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

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

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

The Smartlead MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Smartlead account. It provides structured and secure access to your campaigns, leads, inbox replies, sending accounts, deliverability tests, and prospecting tools, so your agent can manage campaigns, review performance, monitor replies, find prospects, and assess sender resources on your behalf.

  • Campaign creation and management: Have your agent create draft campaigns, review existing campaigns and their settings, or delete campaigns you no longer need.
  • Lead and performance monitoring: Let the agent list campaign leads, review email engagement statistics, remove unwanted leads, and resume paused leads.
  • Inbox and direct email actions: Instruct your agent to review lead replies across campaigns or send a single email from a connected Smartlead sending account.
  • Deliverability and account checks: Direct your agent to inspect sending account health, review spam and inbox placement tests, and organize tests with delivery folders.
  • Prospecting and sender research: Have your agent search prospect contacts, explore industries and saved searches, check prospect usage, compare sender vendors, and find available or purchased domains.

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

Supported Tools

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

Create Draft Campaign

Create a new campaign in DRAFTED status.

Create Smart Delivery Folder

Create an organizational folder for Smart Delivery tests.

Delete Campaign

Permanently delete a campaign and all associated sequences, mappings, and statistics.

Delete Smart Delivery Folder

Delete an empty Smart Delivery folder.

Get Campaign

Get configuration and performance summary for one Smartlead campaign by ID.

Get Campaigns

Get configuration and performance summaries for 1-20 Smartlead campaigns.

Get Smart Delivery Test

Get the documented configuration for one Smart Delivery spam test by ID.

Get Smart Prospect Usage

Get Smart Prospect lead-search metrics, fetch counts, daily limits, and available credit balance.

List Campaigns

List campaigns visible to the connected Smartlead account, optionally for one client.

List Smart Delivery Folders

List folders used to organize Smart Delivery tests.

List Smart Delivery Tests

List Smart Delivery spam and inbox-placement tests.

List Email Accounts

List connected sending accounts with health, warmup, usage, provider, and campaign filters.

List Inbox Replies

List lead replies across campaigns from Master Inbox using bounded filters and one page at a time.

List Smart Prospect Industries

List and search Smart Prospect industry filter values without searching contacts or consuming contact-fetch credits.

List Purchased Smart Senders Domains

List domains already purchased through Smart Senders.

List Saved Smart Prospect Searches

List saved Smart Prospect search definitions without executing them or consuming contact-search credits.

List Smart Senders Vendors

List Smart Senders marketplace vendors and current domain/mailbox pricing without placing an order.

Search Available Smart Senders Domains

Check Smart Senders marketplace domain availability for a vendor.

Search Smart Prospect Contacts (Consumes Credits)

Search one page of Smart Prospect contacts.

FRAMEWORKS

How to build Smartlead MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Smartlead MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Smartlead MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Smartlead MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Smartlead MCP with Claude Cowork

Codex logo

Codex

Use Smartlead MCP with Codex

OpenClaw logo

OpenClaw

Use Smartlead MCP with OpenClaw

Hermes logo

Hermes

Use Smartlead MCP with Hermes

CLI logo

CLI

Use Smartlead MCP with CLI

Google ADK logo

Google ADK

Use Smartlead MCP with Google ADK

LangChain logo

LangChain

Use Smartlead MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Smartlead MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Smartlead MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Smartlead MCP with LlamaIndex

CrewAI logo

CrewAI

Use Smartlead MCP with CrewAI

FAQ

Frequently asked questions

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

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

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