# How to integrate Loops.so MCP with Pydantic AI ```json { "title": "How to integrate Loops.so MCP with Pydantic AI", "toolkit": "Loops.so", "toolkit_slug": "loops_so", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/loops_so/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/loops_so/framework/pydantic-ai.md", "updated_at": "2026-03-29T06:41:00.893Z" } ``` ## Introduction This guide walks you through connecting Loops.so to Pydantic AI using the Composio tool router. By the end, you'll have a working Loops.so agent that can send onboarding email to new signups, segment contacts by plan and engagement, schedule a product update campaign through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Loops.so account through Composio's Loops.so MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Loops.so with - [OpenAI Agents SDK](https://composio.dev/toolkits/loops_so/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/loops_so/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/loops_so/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/loops_so/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/loops_so/framework/codex) - [OpenClaw](https://composio.dev/toolkits/loops_so/framework/openclaw) - [Hermes](https://composio.dev/toolkits/loops_so/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/loops_so/framework/cli) - [Google ADK](https://composio.dev/toolkits/loops_so/framework/google-adk) - [LangChain](https://composio.dev/toolkits/loops_so/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/loops_so/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/loops_so/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/loops_so/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/loops_so/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 Loops.so - 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 Loops.so 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 Loops.so MCP server, and what's possible with it? The Loops.so MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Loops.so account. It provides structured and secure access so your agent can perform Loops.so operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `LOOPS_SO_CREATE_CONTACT` | Create Contact | Tool to add a new contact to your Loops audience. Use when you need to create a contact with email and optional properties like name, subscription status, or custom attributes. Returns 409 if contact already exists. | | `LOOPS_SO_CREATE_CONTACT_PROPERTY` | Create Contact Property | Tool to add a custom contact property to your Loops team. Use when you need to store additional contact data beyond default fields. Properties must have unique names in camelCase format and a specified data type (string, number, boolean, or date). | | `LOOPS_SO_DELETE_CONTACT` | Delete Contact | Tool to delete a contact by email address or user ID. Use when you need to remove a contact from Loops. Either email or userId must be provided to identify the contact. | | `LOOPS_SO_FIND_CONTACT` | Find Contact | Tool to search for a contact by email or userId. Use when you need to find a specific contact's details including subscription status and custom properties. Exactly one of email or userId must be provided per request. | | `LOOPS_SO_GET_CONTACT_PROPERTIES` | Get Contact Properties | Tool to retrieve a list of your account's contact properties from Loops.so. Use when you need to view all available contact properties or filter to only custom properties created by your team. | | `LOOPS_SO_GET_DEDICATED_SENDING_IPS` | Get Dedicated Sending IPs | Tool to retrieve a list of Loops' dedicated sending IP addresses. Use when you need to get IP addresses for whitelisting purposes. | | `LOOPS_SO_GET_MAILING_LISTS` | Get Mailing Lists | Tool to retrieve all mailing lists associated with your Loops account. Use when you need to browse or manage mailing list information. | | `LOOPS_SO_LIST_CUSTOM_FIELDS` | List Custom Fields | Tool to retrieve a list of custom contact properties. Use when you need to view available custom fields for contacts. Note: This endpoint is deprecated in favor of 'List contact properties'. | | `LOOPS_SO_LIST_TRANSACTIONAL_EMAILS` | List Transactional Emails | Tool to retrieve a list of published transactional emails. Use when you need to view all available transactional email templates. Supports pagination with perPage and cursor parameters. | | `LOOPS_SO_SEND_EVENT` | Send Event | Tool to send events to trigger emails in Loops. Use when you need to track user actions and trigger automated email workflows based on those events. | | `LOOPS_SO_TEST_API_KEY` | Test API Key | Tool to test API key validity and retrieve team information. Use to verify API credentials are working correctly. | | `LOOPS_SO_UPDATE_CONTACT` | Update Contact | Tool to update an existing contact by email or userId. Use when you need to modify contact properties or re-subscribe contacts. Creates a new contact if no matching record exists. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Loops.so MCP server is an implementation of the Model Context Protocol that connects your AI agent to Loops.so. It provides structured and secure access so your agent can perform Loops.so 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 Loops.so - 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 Loops.so - MCPServerStreamableHTTP connects to the Loops.so 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 Loops.so 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 Loops.so composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["loops_so"], ) 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 Loops.so endpoint - The agent uses GPT-5 to interpret user commands and perform Loops.so operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent loops_so_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[loops_so_mcp], instructions=( "You are a Loops.so assistant. Use Loops.so 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 - Loops.so 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 Loops.so.\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 Loops.so composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["loops_so"], ) 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 loops_so_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[loops_so_mcp], instructions=( "You are a Loops.so assistant. Use Loops.so 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 Loops.so.\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 Loops.so through Composio's Tool Router. With this setup, your agent can perform real Loops.so 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 + Loops.so 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 Loops.so MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/loops_so/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/loops_so/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/loops_so/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/loops_so/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/loops_so/framework/codex) - [OpenClaw](https://composio.dev/toolkits/loops_so/framework/openclaw) - [Hermes](https://composio.dev/toolkits/loops_so/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/loops_so/framework/cli) - [Google ADK](https://composio.dev/toolkits/loops_so/framework/google-adk) - [LangChain](https://composio.dev/toolkits/loops_so/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/loops_so/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/loops_so/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/loops_so/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/loops_so/framework/crew-ai) ## Related Toolkits - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [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. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place. - [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. - [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place. - [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Loops.so MCP? With a standalone Loops.so MCP server, the agents and LLMs can only access a fixed set of Loops.so tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Loops.so 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 Loops.so tools. ### Can I manage the permissions and scopes for Loops.so while using Tool Router? Yes, absolutely. You can configure which Loops.so 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 Loops.so data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)