# How to integrate Passcreator MCP with Pydantic AI ```json { "title": "How to integrate Passcreator MCP with Pydantic AI", "toolkit": "Passcreator", "toolkit_slug": "passcreator", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/passcreator/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/passcreator/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:21:28.144Z" } ``` ## Introduction This guide walks you through connecting Passcreator to Pydantic AI using the Composio tool router. By the end, you'll have a working Passcreator agent that can find all event tickets created this week, check if a membership card exists for john doe, list available coupon pass templates for your account through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Passcreator account through Composio's Passcreator MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Passcreator with - [OpenAI Agents SDK](https://composio.dev/toolkits/passcreator/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/passcreator/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/passcreator/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/passcreator/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/passcreator/framework/codex) - [OpenClaw](https://composio.dev/toolkits/passcreator/framework/openclaw) - [Hermes](https://composio.dev/toolkits/passcreator/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/passcreator/framework/cli) - [Google ADK](https://composio.dev/toolkits/passcreator/framework/google-adk) - [LangChain](https://composio.dev/toolkits/passcreator/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/passcreator/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/passcreator/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/passcreator/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/passcreator/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 Passcreator - 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 Passcreator 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 Passcreator MCP server, and what's possible with it? The Passcreator MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Passcreator account. It provides structured and secure access to your digital wallet passes, so your agent can perform actions like searching passes, verifying pass existence, and retrieving pass templates on your behalf. - Search and filter wallet passes: Quickly ask your agent to locate passes in your account using filters such as external ID, type, or status. - Verify pass existence: Have your agent check if a specific digital pass already exists before sending updates or making changes. - Retrieve pass templates: Let your agent list and browse available pass templates for creating or managing new digital passes. - Support for bulk and paginated operations: Enable your agent to efficiently handle large numbers of passes or templates by using pagination and advanced search. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `PASSCREATOR_CHECK_PASS_EXISTENCE` | Check Pass Existence | Tool to check if a pass exists for a given ID. Use when verifying pass existence before subsequent operations like updates or deletions. The ID can be a generatedId (unique ID created for every pass, usually encoded in the barcode), userProvidedId (optional custom ID), or any other identifier associated with a pass. | | `PASSCREATOR_CREATE_APP_SCAN` | Create App Scan | Tool to create a new App Scan in PassCreator. Use when recording pass validation or attendance scanning events. Supports tracking scan status, device information, and optional pass voiding. | | `PASSCREATOR_GET_APP_CONFIGURATION` | Get App Configuration | Retrieves detailed information about an App Configuration by its identifier. Use when you need to get scan settings, UI customization, or validation rules for a specific App Configuration. | | `PASSCREATOR_GET_PROCESS_STATUS` | Get Process Status | Get the current status and progress of a bulk operation including any errors. Use this to monitor long-running bulk operations like batch pass updates or creations. The identifier is returned when initiating a bulk operation. | | `PASSCREATOR_GET_SIGNING_PUBLIC_KEY` | Get Signing Public Key | Tool to obtain the public key needed to verify signatures from the placeholder sign() function. Use when you need to verify cryptographic signatures generated by Passcreator's sign placeholder. | | `PASSCREATOR_LIST_APP_CONFIGURATIONS` | List App Configurations | Retrieves all App Configurations for your Passcreator account. Use this action to get a list of validation configurations that control how passes are scanned and validated. Each configuration can be linked to specific pass templates or validate all passes. | | `PASSCREATOR_LIST_APP_SCANS` | List App Scans | Retrieves a paginated list of scans for a given app configuration. Use this tool to view scan history, track attendance, and analyze scan data ordered by creation date. | | `PASSCREATOR_LIST_PASSES` | List/Search Passes | List and search wallet passes from Passcreator using the v3 API. Use this tool to: - Retrieve all passes in your account - Filter passes by template ID or project ID - Search passes using a search phrase across all data fields - Paginate through large result sets Returns passes with metadata including identifiers, serial numbers, template info, and voided/redeemed status. | | `PASSCREATOR_LIST_PASS_TEMPLATES` | List Pass Templates | Retrieves all pass templates for your Passcreator account. Use this action to get a list of available templates (each with its unique identifier and name) which are needed to create new passes. Templates must be created via the Passcreator web app. | | `PASSCREATOR_SEND_BULK_PUSH_NOTIFICATIONS` | Send Bulk Push Notifications | Tool to send push notifications to multiple wallet passes simultaneously (up to 500 passes). Use when you need to notify pass holders about updates, events, or important information. The notification text can include personalization placeholders like {Firstname}. | | `PASSCREATOR_UPDATE_PASSES_BULK` | Bulk Update Passes | Tool to bulk update multiple wallet passes using filter criteria. Returns immediately with a tracking URL to monitor the asynchronous bulk operation progress. Use when updating many passes at once with the same data changes. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Passcreator MCP server is an implementation of the Model Context Protocol that connects your AI agent to Passcreator. It provides structured and secure access so your agent can perform Passcreator 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 Passcreator - 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 Passcreator - MCPServerStreamableHTTP connects to the Passcreator 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 Passcreator 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 Passcreator composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["passcreator"], ) 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 Passcreator endpoint - The agent uses GPT-5 to interpret user commands and perform Passcreator operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent passcreator_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[passcreator_mcp], instructions=( "You are a Passcreator assistant. Use Passcreator 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 - Passcreator 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 Passcreator.\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 Passcreator composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["passcreator"], ) 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 passcreator_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[passcreator_mcp], instructions=( "You are a Passcreator assistant. Use Passcreator 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 Passcreator.\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 Passcreator through Composio's Tool Router. With this setup, your agent can perform real Passcreator 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 + Passcreator 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 Passcreator MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/passcreator/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/passcreator/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/passcreator/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/passcreator/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/passcreator/framework/codex) - [OpenClaw](https://composio.dev/toolkits/passcreator/framework/openclaw) - [Hermes](https://composio.dev/toolkits/passcreator/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/passcreator/framework/cli) - [Google ADK](https://composio.dev/toolkits/passcreator/framework/google-adk) - [LangChain](https://composio.dev/toolkits/passcreator/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/passcreator/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/passcreator/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/passcreator/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/passcreator/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 Passcreator MCP? With a standalone Passcreator MCP server, the agents and LLMs can only access a fixed set of Passcreator tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Passcreator 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 Passcreator tools. ### Can I manage the permissions and scopes for Passcreator while using Tool Router? Yes, absolutely. You can configure which Passcreator 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 Passcreator data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)