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How to integrate Passcreator MCP with Pydantic AI

Connect Pydantic AI to Passcreator MCP. Find all event tickets created this week, check if a membership card exists for john doe, and more using natural language, with authentication handled for you.

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Passcreator is a SaaS platform for creating and managing digital Wallet passes for Apple and Google Wallet. It streamlines distribution and lifecycle management of event tickets, coupons, and memberships for businesses.

11 Tools

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 search and list Wallet passes, bulk update passes, send push notifications, list pass templates, and track app scans 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

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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.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
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
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

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
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

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
5

Import dependencies

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()
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
6

Create a Tool Router Session

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")
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
7

Initialize the Pydantic AI Agent

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."
    ),
)
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
8

Build the chat interface

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()
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
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Passcreator and Pydantic AI:

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.
TOOLS

Supported Tools

Every Passcreator action and event your agent gets out of the box.

Check Pass Existence

Check whether a Passcreator pass exists for a given ID, such as a generated or user-provided ID, before updating or deleting it.

Create App Scan

Tool to create a new App Scan in PassCreator.

Get App Configuration

Retrieves detailed information about an App Configuration by its identifier.

Get Process Status

Get the current status and progress of a bulk operation including any errors.

Get Signing Public Key

Tool to obtain the public key needed to verify signatures from the placeholder sign() function.

List App Configurations

Retrieves all App Configurations for your Passcreator account.

List App Scans

Retrieves a paginated list of scans for a given app configuration.

List/Search Passes

Lists and searches wallet passes using the Passcreator v3 API, with template ID, project ID, search phrase, and page size parameters.

List Pass Templates

Retrieves pass templates for your Passcreator account, including each template's identifier and name, for use in creating passes.

Send Bulk Push Notifications

Tool to send push notifications to multiple wallet passes simultaneously (up to 500 passes).

Bulk Update Passes

Bulk updates wallet passes matching filter criteria with the same data changes.

FRAMEWORKS

How to build Passcreator MCP Agent with another framework

Claude Code logo

Claude Code

Use Passcreator MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Passcreator MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Passcreator MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Passcreator MCP with Claude Agent SDK

Codex logo

Codex

Use Passcreator MCP with Codex

OpenClaw logo

OpenClaw

Use Passcreator MCP with OpenClaw

Hermes logo

Hermes

Use Passcreator MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Passcreator MCP with Atomic Agent

Google ADK logo

Google ADK

Use Passcreator MCP with Google ADK

LangChain logo

LangChain

Use Passcreator MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Passcreator MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Passcreator MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Passcreator MCP with LlamaIndex

CrewAI logo

CrewAI

Use Passcreator MCP with CrewAI

AutoGen logo

AutoGen

Use Passcreator MCP with AutoGen

FAQ

Frequently asked questions

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.

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.

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.

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.

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