# How to integrate Zerobounce MCP with Autogen

```json
{
  "title": "How to integrate Zerobounce MCP with Autogen",
  "toolkit": "Zerobounce",
  "toolkit_slug": "zerobounce",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/zerobounce/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/zerobounce/framework/autogen.md",
  "updated_at": "2026-05-06T08:34:42.363Z"
}
```

## Introduction

This guide walks you through connecting Zerobounce to AutoGen using the Composio tool router. By the end, you'll have a working Zerobounce agent that can validate a list of 100 new signups, score this email for lead quality, check deliverability of mark@gmail.com through natural language commands.
This guide will help you understand how to give your AutoGen agent real control over a Zerobounce account through Composio's Zerobounce MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Zerobounce with

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

The Zerobounce MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Zerobounce account. It provides structured and secure access to your email validation and deliverability tools, so your agent can perform actions like validating emails, scoring leads, managing bulk jobs, and analyzing engagement—all automatically.
- Real-time email validation: Instantly check if email addresses are valid, risky, or undeliverable before sending campaigns or updating your lists.
- Bulk validation and processing: Upload files and process hundreds of emails or domains at once, with tools for tracking job status and retrieving results.
- AI-powered lead scoring: Score individual email addresses using Zerobounce AI to assess lead quality and prioritize outreach.
- Domain and pattern analysis: Identify common email address formats for any domain or run bulk domain searches to optimize your contact strategies.
- Allowlist and blocklist management: Easily update your allow and block lists to fine-tune which addresses pass or fail validation, keeping your lists clean and secure.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ZEROBOUNCE_ACTIVITY_DATA` | Get Activity Data | Tool to get activity data (opens, clicks, etc.) for a given email. use after confirming the email address to gauge engagement recency. |
| `ZEROBOUNCE_AI_SCORING_SINGLE` | AI Scoring Single Email | Tool to score a single email address using zerobounce ai. use when you need real-time email lead quality feedback before outreach. example prompt: "score the email mark@gmail.com." |
| `ZEROBOUNCE_ALLOW_BLOCK_LIST` | Allow or Block List | Tool to manage allowlist and blocklist for email validation. use when you need to programmatically add or modify custom filters before validating emails. |
| `ZEROBOUNCE_BATCH_VALIDATE_EMAILS` | Batch Validate Emails | Tool to validate a batch of email addresses in real time. use when you need to validate up to 200 emails at once with optional activity data. |
| `ZEROBOUNCE_DELETE_FILE` | Delete file | Tool to delete a file that was submitted for bulk validation. use when file status is 'complete'. |
| `ZEROBOUNCE_DOMAIN_SEARCH_FILE_STATUS` | Domain Search File Status | Tool to get the processing status of a file submitted for bulk domain search. use after submitting the file to poll status. |
| `ZEROBOUNCE_DOMAIN_SEARCH_GET_FILE` | Domain Search Get File | Tool to download the results file for a completed bulk domain search job. use when you have the file id and the job is complete. |
| `ZEROBOUNCE_DOMAIN_SEARCH_SEND_FILE` | Domain Search Send File | Tool to upload a file for bulk domain search. use when you have many domains in a csv/txt and need to lookup their details in bulk. |
| `ZEROBOUNCE_DOMAIN_SEARCH_SINGLE` | Domain Search Single | Tool to identify common email address formats for a given domain. use when you need to guess email patterns for a company based on its domain. |
| `ZEROBOUNCE_EMAIL_FINDER_DELETE_FILE` | Delete Email Finder File | Tool to delete a file that was submitted for bulk email finding. use when the file processing status is 'complete' and you need to remove it. |
| `ZEROBOUNCE_EMAIL_FINDER_FILE_STATUS` | Email Finder File Status | Tool to get the processing status of a file submitted for bulk email finding. use when you need to poll the progress of a bulk email-finder file upload. |
| `ZEROBOUNCE_EMAIL_FINDER_SEND_FILE` | Email Finder Send File | Tool to upload a file for bulk email finding. use when you have lists of names and domains to find emails in bulk via csv/txt upload. |
| `ZEROBOUNCE_EMAIL_FINDER_SINGLE` | Email Finder Single | Tool to find an email address for a given person and domain. use when you need to locate a professional email from a person's name and company domain. use after confirming domain or company info. |
| `ZEROBOUNCE_GET_API_USAGE` | Get API Usage | Tool to retrieve api usage statistics for a given period. use when you need usage metrics between two dates. |
| `ZEROBOUNCE_GET_CREDIT_BALANCE` | Get Credit Balance | Tool to retrieve your current zerobounce email validation credit balance. use when you need to monitor remaining credits to avoid service interruptions. |
| `ZEROBOUNCE_LIST_EVALUATOR` | List Evaluator | Tool to evaluate the quality of an email list. use when you have a list of emails and need a quick health check before full validation. |
| `ZEROBOUNCE_SEND_FILE` | Send File | Tool to upload a file for bulk email validation. use when you need to validate large lists of emails via csv or txt file. |
| `ZEROBOUNCE_VALIDATE_EMAIL` | Validate Email | Tool to validate a single email address in real time. use when you need to confirm deliverability and domain details before sending emails. |

## Supported Triggers

None listed.

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

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

## How to build Zerobounce MCP Agent with another framework

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

## Related Toolkits

- [Reddit](https://composio.dev/toolkits/reddit) - Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing.
- [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages.
- [Linkedin](https://composio.dev/toolkits/linkedin) - LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections.
- [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach.
- [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.
- [Benchmark email](https://composio.dev/toolkits/benchmark_email) - Benchmark Email is a platform for creating, sending, and tracking email campaigns. It's built to help you engage audiences and analyze results—all in one place.
- [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.
- [Brevo](https://composio.dev/toolkits/brevo) - Brevo is an all-in-one email and SMS marketing platform for transactional messaging, automation, and CRM. It helps businesses engage customers and streamline communications through powerful campaign tools.
- [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 Zerobounce MCP?

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

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

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

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