# How to integrate Demio MCP with Pydantic AI ```json { "title": "How to integrate Demio MCP with Pydantic AI", "toolkit": "Demio", "toolkit_slug": "demio", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/demio/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/demio/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:08:30.426Z" } ``` ## Introduction This guide walks you through connecting Demio to Pydantic AI using the Composio tool router. By the end, you'll have a working Demio agent that can schedule a new webinar for next week, get a list of all upcoming sessions, add a registrant to your latest webinar through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Demio account through Composio's Demio MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Demio with - [OpenAI Agents SDK](https://composio.dev/toolkits/demio/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/demio/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/demio/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/demio/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/demio/framework/codex) - [OpenClaw](https://composio.dev/toolkits/demio/framework/openclaw) - [Hermes](https://composio.dev/toolkits/demio/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/demio/framework/cli) - [Google ADK](https://composio.dev/toolkits/demio/framework/google-adk) - [LangChain](https://composio.dev/toolkits/demio/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/demio/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/demio/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/demio/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/demio/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 Demio - 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 Demio 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 Demio MCP server, and what's possible with it? The Demio MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Demio account. It provides structured and secure access to your webinar platform, so your agent can perform actions like scheduling webinars, managing attendees, launching polls, tracking engagement, and analyzing event performance on your behalf. - Seamless webinar scheduling and management: Let your agent create, update, or cancel live and automated webinars with customized settings for your marketing needs. - Attendee registration and tracking: Automatically register participants, manage RSVPs, and track attendance before, during, and after your events. - Real-time engagement tools: Launch polls, share resources, and activate interactive features during webinars to boost audience participation and collect instant feedback. - Post-event analytics and reporting: Fetch detailed session analytics, including engagement scores, poll responses, and attendee behavior to optimize your future webinars. - Lead generation optimization: Export attendee data, segment leads, and trigger follow-up actions to maximize the value of every webinar you run. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `DEMIO_CREATE_JOIN_LINK` | Demio Create Join Link | Tool to register an attendee and obtain their unique Demio join link. Use after confirming a valid event_id. | | `DEMIO_GET_EVENT` | Demio: Get Event by ID | Tool to retrieve event details by ID. Use when you need the full metadata for a specific Demio event. | | `DEMIO_LIST_EVENT_DATE_PARTICIPANTS` | List Event Date Participants | Tool to list participants for a specific event date. Use after scheduling an event session to retrieve attendees. | | `DEMIO_LIST_EVENT_DATES` | List Event Dates | Tool to list all scheduled session dates for a given Demio event. Use when you need the session schedule by event ID. | | `DEMIO_LIST_EVENTS` | List Demio Events | Tool to retrieve a list of Demio events. Use when you need to fetch events optionally filtered by type or paginated. | | `DEMIO_PING` | Demio API Ping | Tool to perform a health check on the Demio API. Use to verify the API is reachable before other calls. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Demio MCP server is an implementation of the Model Context Protocol that connects your AI agent to Demio. It provides structured and secure access so your agent can perform Demio 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 Demio - 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 Demio - MCPServerStreamableHTTP connects to the Demio 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 Demio 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 Demio composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["demio"], ) 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 Demio endpoint - The agent uses GPT-5 to interpret user commands and perform Demio operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent demio_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[demio_mcp], instructions=( "You are a Demio assistant. Use Demio 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 - Demio 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 Demio.\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 Demio composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["demio"], ) 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 demio_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[demio_mcp], instructions=( "You are a Demio assistant. Use Demio 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 Demio.\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 Demio through Composio's Tool Router. With this setup, your agent can perform real Demio 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 + Demio 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 Demio MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/demio/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/demio/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/demio/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/demio/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/demio/framework/codex) - [OpenClaw](https://composio.dev/toolkits/demio/framework/openclaw) - [Hermes](https://composio.dev/toolkits/demio/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/demio/framework/cli) - [Google ADK](https://composio.dev/toolkits/demio/framework/google-adk) - [LangChain](https://composio.dev/toolkits/demio/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/demio/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/demio/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/demio/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/demio/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. - [Doppler marketing automation](https://composio.dev/toolkits/doppler_marketing_automation) - Doppler marketing automation is a platform for creating, sending, and tracking email campaigns. It helps you automate marketing workflows and manage subscriber lists for better engagement. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Demio MCP? With a standalone Demio MCP server, the agents and LLMs can only access a fixed set of Demio tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Demio 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 Demio tools. ### Can I manage the permissions and scopes for Demio while using Tool Router? Yes, absolutely. You can configure which Demio 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 Demio data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)