How to integrate OneTapCheckIn MCP with Pydantic AI

This guide walks you through connecting OneTapCheckIn to Pydantic AI using the Composio tool router. By the end, you'll have a working OneTapCheckIn agent that can create attendee lists, add participants, find profiles, review alerts, and manage your profiles through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a OneTapCheckIn account through Composio's OneTapCheckIn MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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OneTapCheckIn is an event attendance platform for managing attendees, profiles, check-ins, passports, integrations, and alerts. It helps teams run smoother events with faster check-ins and clearer attendance tracking.

19 Tools

Introduction

This guide walks you through connecting OneTapCheckIn to Pydantic AI using the Composio tool router. By the end, you'll have a working OneTapCheckIn agent that can create attendee lists, add participants, find profiles, review alerts, and manage your profiles through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a OneTapCheckIn account through Composio's OneTapCheckIn MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate OneTapCheckIn with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

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 OneTapCheckIn
  • 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 OneTapCheckIn 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 OneTapCheckIn MCP server, and what's possible with it?

The OneTapCheckIn MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your OneTapCheckIn account. It provides structured and secure access to your events, attendee profiles, attendance records, passports, alerts, and organization settings, so your agent can create event lists, manage attendee profiles, add participants, track attendance, and review event information on your behalf.

  • Event list management: Have your agent create, find, update, or delete event and check-in lists for your organization.
  • Attendee profile management: Let the agent create, search, update, or delete attendee profiles, including batches of up to 25 profiles and values based on your configured custom fields.
  • Participant organization: Direct your agent to add existing profiles to lists, find attendance records, update participant details, or remove participants from a list.
  • Attendance tracking: Instruct your agent to check in, check out, undo check-ins, or undo checkouts for one participant or batches of up to 25 participants.
  • Passports, alerts, and organization details: Have your agent review attendee passports, attendance alerts, automation rules, check-in confirmation settings, and connected organization information.

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 OneTapCheckIn
  • 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 OneTapCheckIn
  • MCPServerStreamableHTTP connects to the OneTapCheckIn 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 OneTapCheckIn
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["onetapcheckin"],
    )
    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 OneTapCheckIn 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
onetapcheckin_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[onetapcheckin_mcp],
    instructions=(
        "You are a OneTapCheckIn assistant. Use OneTapCheckIn tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the OneTapCheckIn endpoint
  • The agent uses GPT-5 to interpret user commands and perform OneTapCheckIn 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 OneTapCheckIn.\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
  • OneTapCheckIn 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 OneTapCheckIn 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 OneTapCheckIn
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["onetapcheckin"],
    )
    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
    onetapcheckin_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[onetapcheckin_mcp],
        instructions=(
            "You are a OneTapCheckIn assistant. Use OneTapCheckIn 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 OneTapCheckIn.\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 OneTapCheckIn through Composio's Tool Router. With this setup, your agent can perform real OneTapCheckIn 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 + OneTapCheckIn 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 OneTapCheckIn action and event your agent gets out of the box.

Add Participants

Add one or more existing profiles to one or more lists without checking them in.

Create List

Create an event/check-in list.

Create Profile

Create one person profile without adding it to a list.

Create Profiles

Create 1 to 25 person profiles in input order using one provider request per profile.

Delete List

Permanently delete one list by ID.

Delete Profile

Permanently delete one profile.

Find Lists

Get one list by exact ID or search the connected organization's lists.

Find Participants

Get one participant by exact ID or search attendance records by list, profile, status, text, or date range.

Find Profiles

Get one profile by ID or search profiles by identity, list, passport, or check-in code.

Get Organization

Return the organization associated with the connected API key.

Get Profile Custom Fields

Return the organization's configured profile custom-field definitions so an agent can use valid field names and value types when creating or updating profiles.

List Alerts

Return one page of organization alert and automation rules together with outbound check-in confirmation settings.

List Passports

List one page of standard passports for exactly one profile or participant.

Remove Participant

Remove one participant record from its list.

Update List

Partially update a list.

Update Participant

Update metadata on one participant record without performing check-in or checkout.

Update Participant Attendance

Check in, check out, undo check-in, or undo checkout for one known participant.

Update Participant Attendance Batch

Apply one shared check-in, checkout, undo check-in, or undo checkout operation to 1 to 25 participants in input order, using one provider request per item.

Update Profile

Partially update one profile.

FRAMEWORKS

How to build OneTapCheckIn MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use OneTapCheckIn MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use OneTapCheckIn MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use OneTapCheckIn MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use OneTapCheckIn MCP with Claude Cowork

Codex logo

Codex

Use OneTapCheckIn MCP with Codex

OpenClaw logo

OpenClaw

Use OneTapCheckIn MCP with OpenClaw

Hermes logo

Hermes

Use OneTapCheckIn MCP with Hermes

CLI logo

CLI

Use OneTapCheckIn MCP with CLI

Google ADK logo

Google ADK

Use OneTapCheckIn MCP with Google ADK

LangChain logo

LangChain

Use OneTapCheckIn MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use OneTapCheckIn MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use OneTapCheckIn MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use OneTapCheckIn MCP with LlamaIndex

CrewAI logo

CrewAI

Use OneTapCheckIn MCP with CrewAI

FAQ

Frequently asked questions

With a standalone OneTapCheckIn MCP server, the agents and LLMs can only access a fixed set of OneTapCheckIn tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from OneTapCheckIn 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 OneTapCheckIn tools.

Yes, absolutely. You can configure which OneTapCheckIn 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 OneTapCheckIn data and credentials are handled as safely as possible.

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