# How to integrate Enginemailer MCP with Pydantic AI

```json
{
  "title": "How to integrate Enginemailer MCP with Pydantic AI",
  "toolkit": "Enginemailer",
  "toolkit_slug": "enginemailer",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/enginemailer/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/enginemailer/framework/pydantic-ai.md",
  "updated_at": "2026-05-12T10:10:24.662Z"
}
```

## Introduction

This guide walks you through connecting Enginemailer to Pydantic AI using the Composio tool router. By the end, you'll have a working Enginemailer agent that can add new subscriber to newsletter list, pause tomorrow's scheduled marketing campaign, export email delivery report from last week through natural language commands.
This guide will help you understand how to give your Pydantic AI agent real control over a Enginemailer account through Composio's Enginemailer MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Enginemailer with

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

## TL;DR

Here's what you'll learn:
- How to set up your Composio API key and User ID
- How to create a Composio Tool Router session for Enginemailer
- How to attach an MCP Server to a Pydantic AI agent
- How to stream responses and maintain chat history
- How to build a simple REPL-style chat interface to test your Enginemailer workflows

## What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.
Key features include:
- Type Safety: Built on Pydantic for automatic data validation
- MCP Support: Native support for Model Context Protocol servers
- Streaming: Built-in support for streaming responses
- Async First: Designed for async/await patterns

## What is the Enginemailer MCP server, and what's possible with it?

The Enginemailer MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Enginemailer account. It provides structured and secure access to your email marketing platform, so your agent can perform actions like creating campaigns, managing subscriber lists, exporting reports, and sending personalized email campaigns on your behalf.
- Campaign creation and scheduling: Direct your agent to set up new email campaigns, configure content, and schedule delivery to your audience.
- Subscriber management: Have your agent add new subscribers to your lists, including custom fields and segmentation for targeted outreach.
- Instant campaign delivery and controls: Command your agent to send campaigns immediately or pause scheduled campaigns for last-minute adjustments.
- Campaign monitoring and reporting: Let your agent export detailed email campaign reports as CSV files and check the status of ongoing exports.
- Audience segmentation and subcategory retrieval: Guide your agent to fetch subcategories and organize recipients for more personalized and effective campaigns.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ENGINEMAILER_ACTIVATE_SUBSCRIBER` | Activate Subscriber | Tool to activate an inactive subscriber in EngineMailer. Use when you need to reactivate a subscriber that was previously deactivated either through the API or manually. |
| `ENGINEMAILER_ADD_UPDATE_SUBSCRIBER` | Add or Update Subscriber | Tool to add or update a subscriber with custom fields via N8N integration. Use when you need to create a new subscriber or update an existing one in the EngineMailer system. |
| `ENGINEMAILER_BATCH_UPDATE_STATUS` | Check Batch Update Status | Tool to check the status of a batch subscriber update operation. Use when you need to verify if a batch update job has completed or is still processing. |
| `ENGINEMAILER_BATCH_UPDATE_SUBSCRIBERS` | Batch Update Subscribers | Tool to add or update multiple subscribers with custom fields in a single batch operation. Use when you need to create or update multiple subscribers efficiently. Subscribers that fail validation are removed from processing automatically. |
| `ENGINEMAILER_CHECK_EXPORT_STATUS_V2` | Check Export Status V2 | Tool to check status of a previously requested CSV report export. Use after initiating an export to poll for completion. Large exports may take significant time; poll repeatedly until status indicates readiness before consuming the export data. |
| `ENGINEMAILER_CONNECT` | Test API Connection | Tool to test API connection and verify authentication. Use when you need to validate API credentials or check connectivity. |
| `ENGINEMAILER_CREATE_CAMPAIGN` | Create Campaign | Tool to create a new email campaign. Use when you need to configure and schedule a campaign before sending. Set trackOpens and trackClicks at creation; these flags cannot retroactively affect already-delivered messages. |
| `ENGINEMAILER_DELETE_CAMPAIGN` | Delete Campaign | Tool to delete an undelivered email campaign. Use when you need to remove a campaign that has not been sent yet. |
| `ENGINEMAILER_DELETE_RECIPIENT_LIST` | Delete Recipient List | Tool to delete an existing recipient list from a targeted campaign. Use when you need to remove a specific recipient list from a campaign. |
| `ENGINEMAILER_DELETE_SUBSCRIBER` | Delete Subscriber | Tool to remove a subscriber from the system by email address. Use when you need to permanently delete a subscriber's record. |
| `ENGINEMAILER_EXPORT_CSV_REPORT_V2` | Export CSV Report V2 | Tool to export a transactional email report as CSV. Initiates an async export within a specific date range (max past 60 days); check readiness via ENGINEMAILER_CHECK_EXPORT_STATUS_V2 before using the export. |
| `ENGINEMAILER_FIND_SUBSCRIBER` | Find Subscriber | Tool to find a subscriber by email address via N8N integration. Use when you need to search for and retrieve subscriber information from the EngineMailer system. |
| `ENGINEMAILER_GET_GETCUSTOMFIELD` | Get Custom Field List | Tool to retrieve the list of custom fields configured for subscribers. Use when you need to discover available custom fields for subscriber management. |
| `ENGINEMAILER_GET_LISTCAMPAIGN` | Get List Campaign | Tool to get a list of undelivered campaigns. Use when you need to fetch campaigns awaiting delivery. |
| `ENGINEMAILER_GET_NEW_SUBSCRIBERS` | Get New Subscribers | Tool to retrieve new subscribers with optional filtering by source, form, page, or popup. Use when you need to fetch recently added subscribers for synchronization or reporting workflows. |
| `ENGINEMAILER_GET_SUBCATEGORY` | Get Subcategories | Tool to retrieve subcategories for a given category. Use when you need to list or choose subcategories after selecting a category. |
| `ENGINEMAILER_GET_SUBSCRIBER` | Get Subscriber | Tool to retrieve subscriber information by email address. Use when you need to fetch details about a specific subscriber including their custom fields. |
| `ENGINEMAILER_GET_SUBSCRIBER_AUTORESPONDER_COMPLETED` | Get Subscriber Autoresponder Completed | Tool to retrieve subscribers who completed autoresponders with optional filtering by autoresponder ID. Use when you need to fetch completion events for autoresponders, optionally filtered by specific autoresponder or polling for new events since a timestamp. |
| `ENGINEMAILER_GET_SUBSCRIBER_AUTORESPONDER_TRIGGERED` | Get Subscriber Autoresponder Triggered | Tool to retrieve subscribers who triggered autoresponders with optional filtering by autoresponder ID. Use when you need to fetch trigger events for autoresponders, optionally filtered by specific autoresponder or polling for new events since a timestamp. |
| `ENGINEMAILER_GET_SUBSCRIBERS_DELETED` | Get Deleted Subscribers | Tool to retrieve deleted subscribers since last polling date. Use when you need to track or sync subscribers who have been removed from the system. |
| `ENGINEMAILER_GET_SUBSCRIBERS_MODIFIED` | Get Subscribers Modified | Tool to retrieve modified subscribers since last polling date with optional limit. Use when you need to fetch recently modified subscribers for synchronization or polling workflows. |
| `ENGINEMAILER_GET_SUBSCRIBERS_TAGGED` | Get Subscribers Tagged | Tool to retrieve subscribers who were tagged with optional filtering by subcategory. Use when you need to fetch tagged subscribers for synchronization or reporting workflows. |
| `ENGINEMAILER_GET_SUBSCRIBERS_UNTAGGED` | Get Untagged Subscribers | Tool to retrieve subscribers who were untagged from subcategories. Use when you need to track or sync subscribers who have had tags removed, with optional filtering by subcategory and polling date. |
| `ENGINEMAILER_GET_UNSUBSCRIBE` | Get Unsubscribe Events | Tool to retrieve unsubscribe events with optional filtering by campaign or autoresponder. Use when you need to fetch unsubscribe data for reporting, synchronization, or compliance workflows. |
| `ENGINEMAILER_INSERT_SUBSCRIBER` | Insert Subscriber | Tool to add a new subscriber with optional custom fields. Use when registering a user to a specific mailing list after verifying their email. |
| `ENGINEMAILER_LIST_AUTORESPONDERS` | List Autoresponders | Tool to retrieve a list of all autoresponders. Use when you need to fetch available autoresponders configured in the system. |
| `ENGINEMAILER_LIST_CAMPAIGNS` | List Campaigns | Tool to retrieve a list of all campaigns. Use when you need to fetch all campaigns from the system. |
| `ENGINEMAILER_LIST_FORMS` | List Forms | Tool to retrieve a list of available forms in Enginemailer. Use when you need to discover forms for n8n integration or workflow configuration. |
| `ENGINEMAILER_LIST_PAGES` | List Pages | Tool to retrieve a list of all pages. Use when you need to fetch available pages. |
| `ENGINEMAILER_LIST_POPUPS` | List Popups | Tool to retrieve a list of popups from Enginemailer. Use when you need to fetch available popups for n8n workflows. |
| `ENGINEMAILER_LIST_TEMPLATES` | List Templates | Tool to retrieve a list of all email templates. Use when you need to fetch available email templates for campaigns. |
| `ENGINEMAILER_PAUSE_CAMPAIGN` | Pause Campaign | Tool to pause a scheduled email campaign. Use when you need to halt a campaign before sending to apply updates or adjust schedule. |
| `ENGINEMAILER_POST_UPDATECATEGORY` | Create/Update Category | Tool to create or update a category for subscriber segmentation. Use when organizing subscribers by common interests for targeted email marketing. |
| `ENGINEMAILER_POST_UPDATE_SUBSCRIBER` | Update Subscriber | Tool to update data for an existing subscriber in EngineMailer. Use when you need to modify subscriber information such as custom fields or subcategory assignments. |
| `ENGINEMAILER_SEND_CAMPAIGN` | Send Campaign | Tool to send an email campaign immediately. Use when the campaign exists, has at least one recipient, and is not scheduled or already delivered. E.g., 'Send campaign 123 now'. |
| `ENGINEMAILER_TAG_TO_SUBCATEGORY` | Tag Subscriber to Subcategory | Tool to tag a subscriber to a specific subcategory via N8N API endpoint. Use when you need to categorize or organize subscribers by assigning them to a subcategory. |
| `ENGINEMAILER_UNSUBSCRIBE` | Unsubscribe (N8N) | Tool to unsubscribe a subscriber via N8N API endpoint. Use when you need to remove a subscriber from the mailing list using the N8N integration endpoint. |
| `ENGINEMAILER_UNSUBSCRIBE_SUBSCRIBER` | Unsubscribe Subscriber | Tool to unsubscribe a subscriber from the email list. Use when a user requests to be removed from the mailing list or to comply with unsubscribe requests. |

## Supported Triggers

None listed.

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

The Enginemailer MCP server is an implementation of the Model Context Protocol that connects your AI agent to Enginemailer. It provides structured and secure access so your agent can perform Enginemailer operations on your behalf through a secure, permission-based interface.
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

Before starting, make sure you have:
- Python 3.9 or higher
- A Composio account with an active API key
- Basic familiarity with Python and async programming

### 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 the required libraries.
What's happening:
- composio connects your agent to external SaaS tools like Enginemailer
- pydantic-ai lets you create structured AI agents with tool support
- python-dotenv loads your environment variables securely from a .env file
```bash
pip install composio pydantic-ai python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your agent to Composio's API
- USER_ID associates your session with your account for secure tool access
- OPENAI_API_KEY to access OpenAI LLMs
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key
```

### 4. Import dependencies

What's happening:
- We load environment variables and import required modules
- Composio manages connections to Enginemailer
- MCPServerStreamableHTTP connects to the Enginemailer MCP server endpoint
- Agent from Pydantic AI lets you define and run the AI assistant
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
```

### 5. Create a Tool Router Session

What's happening:
- We're creating a Tool Router session that gives your agent access to Enginemailer tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
```python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Enginemailer
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["enginemailer"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
```

### 6. Initialize the Pydantic AI Agent

What's happening:
- The MCP client connects to the Enginemailer endpoint
- The agent uses GPT-5 to interpret user commands and perform Enginemailer operations
- The instructions field defines the agent's role and behavior
```python
# Attach the MCP server to a Pydantic AI Agent
enginemailer_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[enginemailer_mcp],
    instructions=(
        "You are a Enginemailer assistant. Use Enginemailer tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
```

### 7. Build the chat interface

What's happening:
- The agent reads input from the terminal and streams its response
- Enginemailer API calls happen automatically under the hood
- The model keeps conversation history to maintain context across turns
```python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Enginemailer.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
```

### 8. Run the application

What's happening:
- The asyncio loop launches the agent and keeps it running until you exit
```python
if __name__ == "__main__":
    asyncio.run(main())
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Enginemailer
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["enginemailer"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    enginemailer_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[enginemailer_mcp],
        instructions=(
            "You are a Enginemailer assistant. Use Enginemailer tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Enginemailer.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

## Conclusion

You've built a Pydantic AI agent that can interact with Enginemailer through Composio's Tool Router. With this setup, your agent can perform real Enginemailer actions through natural language.
You can extend this further by:
- Adding other toolkits like Gmail, HubSpot, or Salesforce
- Building a web-based chat interface around this agent
- Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Enginemailer for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

## How to build Enginemailer MCP Agent with another framework

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

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- [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.
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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Enginemailer MCP?

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

### Can I use Tool Router MCP with Pydantic AI?

Yes, you can. Pydantic AI 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 Enginemailer tools.

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

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

---
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