# How to integrate Stannp MCP with Pydantic AI ```json { "title": "How to integrate Stannp MCP with Pydantic AI", "toolkit": "Stannp", "toolkit_slug": "stannp", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/stannp/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/stannp/framework/pydantic-ai.md", "updated_at": "2026-05-06T08:29:47.592Z" } ``` ## Introduction This guide walks you through connecting Stannp to Pydantic AI using the Composio tool router. By the end, you'll have a working Stannp agent that can add new customer to holiday postcard group, import client mailing list from spreadsheet, list all available postcard templates through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Stannp account through Composio's Stannp MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Stannp with - [OpenAI Agents SDK](https://composio.dev/toolkits/stannp/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/stannp/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/stannp/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/stannp/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/stannp/framework/codex) - [OpenClaw](https://composio.dev/toolkits/stannp/framework/openclaw) - [Hermes](https://composio.dev/toolkits/stannp/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/stannp/framework/cli) - [Google ADK](https://composio.dev/toolkits/stannp/framework/google-adk) - [LangChain](https://composio.dev/toolkits/stannp/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/stannp/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/stannp/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/stannp/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/stannp/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 Stannp - 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 Stannp 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 Stannp MCP server, and what's possible with it? The Stannp MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Stannp account. It provides structured and secure access to your direct mail contacts, groups, and templates, so your agent can perform actions like managing recipient lists, importing contacts, and retrieving mailing templates on your behalf. - Organize and manage recipient groups: Easily create new recipient groups and add contacts, helping you segment your mailing lists for targeted direct mail campaigns. - Import bulk recipients efficiently: Let your agent upload and import contacts from CSV or XLS files directly into Stannp, streamlining the process of building large mailing lists. - Retrieve and view contact details: Instantly fetch information on specific contacts or list all your contacts, making it simple to keep track of who’s in your database. - Access and manage templates: Quickly list and review all available Stannp templates, so your agent can select the right one when setting up new campaigns or mailings. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `STANNP_ADD_RECIPIENT_TO_GROUP` | Add Recipient to Group | Tool to add a recipient to a recipient group. use when you need to add new mailing list subscribers. | | `STANNP_CREATE_GROUP` | Create recipient group | Tool to create a new recipient group in stannp. use when you need to organize contacts into a distinct group before sending campaigns. | | `STANNP_GET_CONTACT` | Get Contact | Tool to retrieve details of a specific contact. use when you need all stored fields of a contact by its id. | | `STANNP_IMPORT_RECIPIENTS` | Import Recipients | Tool to import recipients from a csv or xls file into a stannp recipient group. use when you have a mailing list file ready to upload. | | `STANNP_LIST_CONTACTS` | List Contacts | Tool to list all contacts. use when you need to retrieve contacts with optional pagination filters. | | `STANNP_LIST_TEMPLATES` | List Templates | Tool to list all templates associated with the account. use when you need to retrieve available templates after authentication. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Stannp MCP server is an implementation of the Model Context Protocol that connects your AI agent to Stannp. It provides structured and secure access so your agent can perform Stannp 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 Stannp - 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 Stannp - MCPServerStreamableHTTP connects to the Stannp 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 Stannp 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 Stannp composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["stannp"], ) 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 Stannp endpoint - The agent uses GPT-5 to interpret user commands and perform Stannp operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent stannp_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[stannp_mcp], instructions=( "You are a Stannp assistant. Use Stannp 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 - Stannp 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 Stannp.\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 Stannp composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["stannp"], ) 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 stannp_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[stannp_mcp], instructions=( "You are a Stannp assistant. Use Stannp 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 Stannp.\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 Stannp through Composio's Tool Router. With this setup, your agent can perform real Stannp 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 + Stannp 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 Stannp MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/stannp/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/stannp/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/stannp/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/stannp/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/stannp/framework/codex) - [OpenClaw](https://composio.dev/toolkits/stannp/framework/openclaw) - [Hermes](https://composio.dev/toolkits/stannp/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/stannp/framework/cli) - [Google ADK](https://composio.dev/toolkits/stannp/framework/google-adk) - [LangChain](https://composio.dev/toolkits/stannp/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/stannp/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/stannp/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/stannp/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/stannp/framework/crew-ai) ## Related Toolkits - [Metaads](https://composio.dev/toolkits/metaads) - Metaads is Meta's official Ads API that lets you manage, analyze, and optimize your Facebook and Instagram ad campaigns. Streamline ad operations and gain deeper insights with robust automation. - [Adrapid](https://composio.dev/toolkits/adrapid) - Adrapid is a platform for rapid creation of digital marketing visuals using templates. It streamlines design workflows for banners, images, and HTML5 content with automation. - [Adyntel](https://composio.dev/toolkits/adyntel) - Adyntel is an API that retrieves LinkedIn ads for any company using a domain or LinkedIn Page ID. Easily access competitive ad intelligence to power your marketing workflows. - [Beaconstac](https://composio.dev/toolkits/beaconstac) - Beaconstac is a platform for creating and managing QR codes and proximity beacons. It helps businesses engage customers and track marketing performance with powerful analytics. - [Campaign cleaner](https://composio.dev/toolkits/campaign_cleaner) - Campaign cleaner is an email campaign optimization tool that boosts compatibility and deliverability across email clients. It helps marketers get better results by cleaning, enhancing, and ensuring high performance for every campaign. - [Deadline funnel](https://composio.dev/toolkits/deadline_funnel) - Deadline Funnel lets you create personalized deadlines and timers for your marketing campaigns. It helps marketers boost conversions by adding authentic urgency to offers. - [Google Ads](https://composio.dev/toolkits/googleads) - Google Ads is Google's online advertising platform for creating, managing, and optimizing digital campaigns. It helps businesses reach targeted customers and maximize return on ad spend. - [Instantly](https://composio.dev/toolkits/instantly) - Instantly is a platform for automating cold email outreach, managing leads, and optimizing deliverability. Get better results from email campaigns with minimal manual effort. - [Proofly](https://composio.dev/toolkits/proofly) - Proofly is a social proof platform that displays real-time notifications of customer activity on your site. It helps you increase website conversions by building trust and urgency for visitors. - [Segmetrics](https://composio.dev/toolkits/segmetrics) - Segmetrics is a marketing analytics platform that reveals detailed insights into your customer journeys. It helps businesses optimize marketing strategies with accurate, actionable reporting. - [Semrush](https://composio.dev/toolkits/semrush) - Semrush is a leading SEO tool suite for keyword research, competitor analysis, and campaign tracking. It empowers marketers to improve search rankings and optimize online visibility. - [Sendloop](https://composio.dev/toolkits/sendloop) - Sendloop is an all-in-one email marketing platform built for SaaS, e-commerce, and small businesses. It makes it easy to send campaigns, manage lists, and track results—all in one place. - [Sidetracker](https://composio.dev/toolkits/sidetracker) - Sidetracker is a marketing analytics platform that tracks expenses, sales funnels, and customer journeys. It helps optimize marketing spend and visualize campaign performance from start to finish. - [Tapfiliate](https://composio.dev/toolkits/tapfiliate) - Tapfiliate is an affiliate and referral tracking platform for businesses. It helps companies efficiently manage, track, and grow their affiliate programs. - [Tpscheck](https://composio.dev/toolkits/tpscheck) - Tpscheck is a real-time service for verifying UK phone numbers against TPS and CTPS registers. It helps prevent unwanted marketing calls and ensures compliance with UK telemarketing laws. - [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable. - [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options. - [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices. - [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management. - [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Stannp MCP? With a standalone Stannp MCP server, the agents and LLMs can only access a fixed set of Stannp tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Stannp 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 Stannp tools. ### Can I manage the permissions and scopes for Stannp while using Tool Router? Yes, absolutely. You can configure which Stannp 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 Stannp data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)