# How to integrate Emailoctopus MCP with Pydantic AI ```json { "title": "How to integrate Emailoctopus MCP with Pydantic AI", "toolkit": "Emailoctopus", "toolkit_slug": "emailoctopus", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/emailoctopus/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/emailoctopus/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:10:16.645Z" } ``` ## Introduction This guide walks you through connecting Emailoctopus to Pydantic AI using the Composio tool router. By the end, you'll have a working Emailoctopus agent that can add new subscribers to your newsletter list, unsubscribe a user from marketing emails, list all recent email campaigns sent through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Emailoctopus account through Composio's Emailoctopus MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Emailoctopus with - [OpenAI Agents SDK](https://composio.dev/toolkits/emailoctopus/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/emailoctopus/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/emailoctopus/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/emailoctopus/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/emailoctopus/framework/codex) - [OpenClaw](https://composio.dev/toolkits/emailoctopus/framework/openclaw) - [Hermes](https://composio.dev/toolkits/emailoctopus/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/emailoctopus/framework/cli) - [Google ADK](https://composio.dev/toolkits/emailoctopus/framework/google-adk) - [LangChain](https://composio.dev/toolkits/emailoctopus/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/emailoctopus/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/emailoctopus/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/emailoctopus/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/emailoctopus/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 Emailoctopus - 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 Emailoctopus 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 Emailoctopus MCP server, and what's possible with it? The Emailoctopus MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Emailoctopus account. It provides structured and secure access to your subscriber lists, contacts, and campaigns, so your agent can perform actions like managing lists, adding contacts, launching campaigns, and handling unsubscriptions on your behalf. - Seamless contact management: Your agent can create new contacts, update details, or remove subscribers from your marketing lists in seconds. - Mailing list creation and organization: Effortlessly set up new mailing lists and keep your audience segmented for targeted campaigns. - Campaign insights and retrieval: Instantly access details about your recent email campaigns, including summaries and performance data. - Automated unsubscriptions and compliance: Quickly unsubscribe contacts or delete them to keep your lists clean and privacy-compliant. - Bulk list management: Retrieve and organize all mailing lists in your account, making it easy to scale and update your marketing efforts. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `EMAILOCTOPUS_CREATE_CONTACT` | Create Contact | This tool creates a new contact in EmailOctopus. The tool will add a contact to a specified list with the provided information. | | `EMAILOCTOPUS_CREATE_FIELD` | Create Field | Tool to create a new custom field on an EmailOctopus mailing list. Use when you need to add additional data fields beyond the default Email, First Name, and Last Name fields. | | `EMAILOCTOPUS_CREATE_LIST` | Create List | Creates a new mailing list in EmailOctopus for organizing and managing email contacts. The list is created with default fields (Email address, First name, Last name) and can be used to add contacts, send campaigns, and track subscriber engagement. | | `EMAILOCTOPUS_CREATE_TAG` | Create Tag | Tool to create a new tag on an EmailOctopus mailing list. Use when you need to add a new tag for contact segmentation and filtering purposes. | | `EMAILOCTOPUS_DELETE_CONTACT` | Delete Contact | Permanently deletes a contact from a specified EmailOctopus list. This action is irreversible - once deleted, the contact and all associated data will be removed from the list. Use this for list management, honoring deletion requests, and data privacy compliance (e.g., GDPR right to erasure). | | `EMAILOCTOPUS_DELETE_FIELD` | Delete Field | Permanently deletes a custom field from a specified EmailOctopus list. This action is irreversible - once deleted, the field and all associated data will be removed from the list. Use this for list customization and field management. | | `EMAILOCTOPUS_DELETE_LIST` | Delete List | This tool allows you to delete an existing mailing list from your EmailOctopus account. Once a list is deleted, it cannot be recovered, and all contacts within the list will be permanently removed. Note: Lists can only be deleted if no contacts within the list have received an email in the last 7 days. | | `EMAILOCTOPUS_DELETE_TAG` | Delete Tag | Tool to delete a tag from a mailing list in EmailOctopus. Use when you need to remove an existing tag that is no longer needed for contact organization or segmentation. | | `EMAILOCTOPUS_GET_ALL_LISTS` | Get All Lists | This tool retrieves all the mailing lists associated with the EmailOctopus account. | | `EMAILOCTOPUS_GET_CONTACT` | Get Contact | Tool to retrieve details of a specific contact from an EmailOctopus list. Use when you need to fetch contact information including email, fields, tags, and subscription status. | | `EMAILOCTOPUS_GET_LIST` | Get List | Retrieves details of a specific mailing list by ID. Use when you need to fetch list information, including its name, fields, tags, contact counts, and opt-in settings. | | `EMAILOCTOPUS_GET_RECENT_CAMPAIGNS` | Get Recent Campaigns | This tool retrieves a list of recent campaigns from the EmailOctopus account. | | `EMAILOCTOPUS_LIST_CONTACTS` | List Contacts | Tool to retrieve contacts from an EmailOctopus list. Returns a paginated list of contacts with optional filtering by tag, status, and date ranges. | | `EMAILOCTOPUS_LIST_TAGS` | List Tags | Tool to retrieve all tags from a mailing list. Use when you need to see what tags are available on a specific list for contact segmentation. | | `EMAILOCTOPUS_UNSUBSCRIBE_CONTACT` | Unsubscribe Contact | Unsubscribes a contact from an EmailOctopus mailing list. This tool updates the contact's subscription status to 'unsubscribed', which stops them from receiving future emails from the specified list. The contact record is preserved but marked as unsubscribed. | | `EMAILOCTOPUS_UPDATE_CONTACTS_BATCH` | Batch Update Contacts | Tool to update multiple contacts in an EmailOctopus list in a single batch operation. Use when you need to efficiently update multiple contacts at once with changes to their email, fields, status, or tags. | | `EMAILOCTOPUS_UPDATE_FIELD` | Update Field | Updates an existing custom field on an EmailOctopus list including its label, tag, type, and fallback value. Use this action to modify field properties or rename field tags. Note that changing the tag will affect how the field is referenced in email templates. | | `EMAILOCTOPUS_UPDATE_LIST` | Update List | Tool to update an existing mailing list's name in EmailOctopus. Use when you need to rename a list. | | `EMAILOCTOPUS_UPDATE_TAG` | Update Tag | Tool to update an existing tag on a mailing list. Use when you need to rename a tag. | | `EMAILOCTOPUS_UPSERT_CONTACT` | Create or Update Contact | Tool to create or update a contact in EmailOctopus. If the contact does not exist, it will be created. If the contact already exists, it will be updated. Use when you need to ensure a contact exists with specific information regardless of whether they're already in the list. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Emailoctopus MCP server is an implementation of the Model Context Protocol that connects your AI agent to Emailoctopus. It provides structured and secure access so your agent can perform Emailoctopus 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 Emailoctopus - 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 Emailoctopus - MCPServerStreamableHTTP connects to the Emailoctopus 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 Emailoctopus 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 Emailoctopus composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["emailoctopus"], ) 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 Emailoctopus endpoint - The agent uses GPT-5 to interpret user commands and perform Emailoctopus operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent emailoctopus_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[emailoctopus_mcp], instructions=( "You are a Emailoctopus assistant. Use Emailoctopus 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 - Emailoctopus 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 Emailoctopus.\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 Emailoctopus composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["emailoctopus"], ) 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 emailoctopus_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[emailoctopus_mcp], instructions=( "You are a Emailoctopus assistant. Use Emailoctopus 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 Emailoctopus.\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 Emailoctopus through Composio's Tool Router. With this setup, your agent can perform real Emailoctopus 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 + Emailoctopus 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 Emailoctopus MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/emailoctopus/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/emailoctopus/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/emailoctopus/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/emailoctopus/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/emailoctopus/framework/codex) - [OpenClaw](https://composio.dev/toolkits/emailoctopus/framework/openclaw) - [Hermes](https://composio.dev/toolkits/emailoctopus/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/emailoctopus/framework/cli) - [Google ADK](https://composio.dev/toolkits/emailoctopus/framework/google-adk) - [LangChain](https://composio.dev/toolkits/emailoctopus/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/emailoctopus/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/emailoctopus/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/emailoctopus/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/emailoctopus/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 Emailoctopus MCP? With a standalone Emailoctopus MCP server, the agents and LLMs can only access a fixed set of Emailoctopus tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Emailoctopus 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 Emailoctopus tools. ### Can I manage the permissions and scopes for Emailoctopus while using Tool Router? Yes, absolutely. You can configure which Emailoctopus 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 Emailoctopus data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)