# How to integrate Unisender MCP with Pydantic AI ```json { "title": "How to integrate Unisender MCP with Pydantic AI", "toolkit": "Unisender", "toolkit_slug": "unisender", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/unisender/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/unisender/framework/pydantic-ai.md", "updated_at": "2026-03-29T06:54:16.935Z" } ``` ## Introduction This guide walks you through connecting Unisender to Pydantic AI using the Composio tool router. By the end, you'll have a working Unisender agent that can send an sms campaign to new signups, create a new email list segment, check status of yesterday's email campaign through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Unisender account through Composio's Unisender MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Unisender with - [OpenAI Agents SDK](https://composio.dev/toolkits/unisender/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/unisender/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/unisender/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/unisender/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/unisender/framework/codex) - [OpenClaw](https://composio.dev/toolkits/unisender/framework/openclaw) - [Hermes](https://composio.dev/toolkits/unisender/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/unisender/framework/cli) - [Google ADK](https://composio.dev/toolkits/unisender/framework/google-adk) - [LangChain](https://composio.dev/toolkits/unisender/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/unisender/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/unisender/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/unisender/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/unisender/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 Unisender - 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 Unisender 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 Unisender MCP server, and what's possible with it? The Unisender MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Unisender account. It provides structured and secure access so your agent can perform Unisender operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `UNISENDER_CHECK_EMAIL` | Check Email Status | Tool to check the delivery status of emails sent via sendEmail method. Use when you need to verify email delivery status by email IDs. Statuses are stored for approximately one month. Rate limited to 300 requests per 60 seconds. | | `UNISENDER_CREATE_EMAIL_TEMPLATE` | Create Email Template | Tool to create a new email template for mass campaigns in UniSender. Use when you need to create a reusable email template with customizable title, subject, body content, and sender information. | | `UNISENDER_CREATE_FIELD` | Create Field | Tool to create a new custom field for contact data in UniSender. Use when you need to add a custom field that can store additional contact information and be used in email message substitutions. | | `UNISENDER_CREATE_LIST` | Create List | Tool to create a new contact list for organizing thematic email campaigns in UniSender. Use when you need to create a new mailing list with a unique title. The list title must be unique within the account. | | `UNISENDER_CREATE_SUBSCRIBER_NOTE` | Create Subscriber Note | Tool to create a note for a subscriber contact in UniSender. Use when you need to add a new note to a subscriber's profile. Notes created via API have an 'origin' field set to 'api'. | | `UNISENDER_DELETE_FIELD` | Delete Field | Tool to remove a custom field from the Unisender system. Use when you need to permanently delete a custom field and all its associated contact data. | | `UNISENDER_DELETE_LIST` | Delete List | Tool to permanently delete a contact list from your UniSender account. Use when you need to remove a mailing list by its ID. | | `UNISENDER_DELETE_SUBSCRIBER_NOTE` | Delete Subscriber Note | Tool to delete a subscriber note from UniSender by its ID. Use when you need to remove a note associated with a subscriber/contact from the system. | | `UNISENDER_DELETE_TAG` | Delete Tag | Tool to delete a tag by its ID and remove it from all associated contacts. Use when you need to remove a tag from your UniSender account. | | `UNISENDER_DELETE_TEMPLATE` | Delete Template | Tool to remove a template from the UniSender account. Use when you need to permanently delete a template by its ID. | | `UNISENDER_EXCLUDE_CONTACT_FROM_LISTS` | Exclude Contact from Lists | Tool to remove contacts from specified lists or all lists in UniSender. Use when you need to exclude a contact (email or phone) from mailing lists. Unlike unsubscribe, exclude actually removes the contact from lists, allowing them to be re-added later using the subscribe method. Recommended when subscription management is performed by sender's initiative. | | `UNISENDER_EXPORT_CONTACTS` | Export Contacts | Tool to export contact data from UniSender lists for synchronization. Use when you need to export email addresses, phone numbers, and custom fields from lists. This method works asynchronously - the response contains a task_uuid for tracking export status. | | `UNISENDER_GET_CAMPAIGNS` | Get Campaigns | Tool to retrieve list of campaigns from Unisender within a specified date range. Use when you need to fetch email campaign information with optional filtering by date and pagination support. Returns up to 10,000 campaigns per request. | | `UNISENDER_GET_CAMPAIGN_STATUS` | Get Campaign Status | Tool to check the current status of a campaign in UniSender. Use when you need to verify campaign progress or completion status. Returns detailed status information including creation time and start time. | | `UNISENDER_GET_CONTACT` | Get Contact | Tool to get information about a single contact from UniSender. Use when you need to retrieve detailed contact data including email/phone status, custom fields, list memberships, and engagement statistics. Either email or contact_id must be provided. | | `UNISENDER_GET_CONTACT_FIELD_VALUES` | Get Contact Field Values | Tool to retrieve custom field values for a specific contact identified by email address. Use when you need to get additional field data associated with a contact. You can optionally specify which fields to retrieve by providing field IDs. | | `UNISENDER_GET_FIELDS` | Get Fields | Tool to retrieve all custom user-defined fields for contact personalization and data management. Use when creating integrations to map fields between systems or to retrieve available custom fields for contacts. | | `UNISENDER_GET_LISTS` | Get Lists | Tool to retrieve all existing mailing lists associated with the account. Use when you need to get list IDs and titles before sending emails or SMS to a list, or to display available contact lists. | | `UNISENDER_GET_MESSAGES` | Get Messages | Tool to retrieve list of all messages with body and attachments. Use when you need complete message information including content and attachments, unlike listMessages which returns only metadata. | | `UNISENDER_GET_SENDER_DOMAIN_LIST` | Get Sender Domain List | Tool to retrieve information about sender domains and their DKIM status. Use when you need to check which domains are registered for sending emails and their verification status. | | `UNISENDER_GET_TAGS` | Get Tags | Tool to retrieve all custom tags/labels for contact segmentation. Use when you need to list all available tags in the Unisender account. | | `UNISENDER_GET_TEMPLATE` | Get Template | Tool to retrieve detailed information about a specific email template by its ID. Use when you need to fetch template details including metadata, content, creation details, and formatting information. | | `UNISENDER_GET_TEMPLATES` | Get Templates | Tool to retrieve list of all templates with full content including body. Use when you need complete template information including raw_body and body fields, unlike listTemplates which returns templates without body content. | | `UNISENDER_IMPORT_CONTACTS_BULK` | Import Contacts (Bulk) | Tool to bulk import contacts to UniSender with maximum 500 contacts per call. Use when you need to import multiple contacts at once with their fields, list subscriptions, and tags. Supports creating new contacts, updating existing ones, and managing list subscriptions. UniSender automatically validates emails and filters spam-traps. | | `UNISENDER_CHECK_IF_CONTACT_IS_IN_LISTS` | Check if Contact is in Lists | Tool to check if a contact exists in specified mailing lists based on and/or conditions. Use when you need to verify whether a contact is a member of specific lists. The condition parameter allows checking if the contact is in all lists (and) or at least one list (or). | | `UNISENDER_LIST_MESSAGES` | List Messages | Tool to list all messages without body and attachments. Use when you need to browse available messages created via API or web interface. | | `UNISENDER_LIST_TEMPLATES` | List Templates | Tool to list email templates without body content. Use when you need to browse available templates created via API or web interface. | | `UNISENDER_SUBSCRIBE_CONTACT_TO_LISTS` | Subscribe Contact to Lists | Tool to add contacts to one or multiple mailing lists with optional tags and field values. Use when you need to subscribe a contact (email and/or phone) to Unisender lists. This method adds contacts individually and can override existing contact data based on the overwrite parameter. Contacts previously excluded can be re-added using this action. | | `UNISENDER_UNSUBSCRIBE_CONTACT` | Unsubscribe Contact | Tool to unsubscribe contacts from mailing lists in UniSender. Use when a contact initiates opt-out from campaigns. This marks contacts as 'unsubscribed' rather than excluding them - the active status can only be restored by the contact clicking an activation link. | | `UNISENDER_UPDATE_EMAIL_TEMPLATE` | Update Email Template | Tool to update an existing email template for mass campaigns. Use when you need to modify template properties like title, subject, body content, sender information, or language settings. Only the fields you specify will be updated. | | `UNISENDER_UPDATE_FIELD` | Update Field | Tool to modify parameters of an existing custom field in UniSender. Use when you need to change field properties like name, display name, type, visibility, or display position. | | `UNISENDER_UPDATE_LIST` | Update List | Tool to update the parameters of an existing contact list in UniSender. Use when you need to change the title, pre-subscription URL, or post-subscription URL of an existing mailing list. | | `UNISENDER_UPDATE_SUBSCRIBER_NOTE` | Update Subscriber Note | Tool to update the content of an existing subscriber note in UniSender. Use when you need to edit or modify the content of a previously created note attached to a subscriber. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Unisender MCP server is an implementation of the Model Context Protocol that connects your AI agent to Unisender. It provides structured and secure access so your agent can perform Unisender 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 Unisender - 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 Unisender - MCPServerStreamableHTTP connects to the Unisender 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 Unisender 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 Unisender composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["unisender"], ) 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 Unisender endpoint - The agent uses GPT-5 to interpret user commands and perform Unisender operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent unisender_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[unisender_mcp], instructions=( "You are a Unisender assistant. Use Unisender 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 - Unisender 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 Unisender.\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 Unisender composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["unisender"], ) 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 unisender_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[unisender_mcp], instructions=( "You are a Unisender assistant. Use Unisender 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 Unisender.\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 Unisender through Composio's Tool Router. With this setup, your agent can perform real Unisender 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 + Unisender 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 Unisender MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/unisender/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/unisender/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/unisender/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/unisender/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/unisender/framework/codex) - [OpenClaw](https://composio.dev/toolkits/unisender/framework/openclaw) - [Hermes](https://composio.dev/toolkits/unisender/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/unisender/framework/cli) - [Google ADK](https://composio.dev/toolkits/unisender/framework/google-adk) - [LangChain](https://composio.dev/toolkits/unisender/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/unisender/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/unisender/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/unisender/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/unisender/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 Unisender MCP? With a standalone Unisender MCP server, the agents and LLMs can only access a fixed set of Unisender tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Unisender 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 Unisender tools. ### Can I manage the permissions and scopes for Unisender while using Tool Router? Yes, absolutely. You can configure which Unisender 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 Unisender data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)