How to integrate OneTapCheckIn MCP with Mastra AI

This guide walks you through connecting OneTapCheckIn to Mastra 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 Mastra 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

Api Key

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.

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Introduction

This guide will help you understand how to give your Mastra 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 SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK LlamaIndex CrewAI

TL;DR

Here's what you'll learn:

Set up your environment so Mastra, OpenAI, and Composio work together
Create a Tool Router session in Composio that exposes OneTapCheckIn tools
Connect Mastra's MCP client to the Composio generated MCP URL
Fetch OneTapCheckIn tool definitions and attach them as a toolset
Build a Mastra agent that can reason, call tools, and return structured results
Run an interactive CLI where you can chat with your OneTapCheckIn agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

MCP Client: Built-in support for Model Context Protocol servers
Toolsets: Organize tools into logical groups
Step Callbacks: Monitor and debug agent execution
OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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:

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

Step-by-step Guide

Step by step09 STEPS

Prerequisites

Before starting, make sure you have:

Node.js 18 or higher
A Composio account with an active API key
An OpenAI API key
Basic familiarity with TypeScript

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard and create an API key.
You need credits or a connected billing setup to use the models.
Store the key somewhere safe.

Composio API Key

Log in to the Composio dashboard.
Go to Settings and copy your API key.
This key lets your Mastra agent talk to Composio and reach OneTapCheckIn through MCP.

Install dependencies

bash

npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

@composio/core is the Composio SDK for creating MCP sessions
@mastra/core provides the Agent class
@mastra/mcp is Mastra's MCP client
@ai-sdk/openai is the model wrapper for OpenAI
dotenv loads environment variables from .env

Set up environment variables

bash

COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

COMPOSIO_API_KEY authenticates your requests to Composio
COMPOSIO_USER_ID tells Composio which user this session belongs to
OPENAI_API_KEY lets the Mastra agent call OpenAI models

Import libraries and validate environment

typescript

import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});

What's happening:

dotenv/config auto loads your .env so process.env.* is available
openai gives you a Mastra compatible model wrapper
Agent is the Mastra agent that will call tools and produce answers
MCPClient connects Mastra to your Composio MCP server
Composio is used to create a Tool Router session

Create a Tool Router session for OneTapCheckIn

typescript

async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["onetapcheckin"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("OneTapCheckIn MCP URL:", composioMCPUrl);

What's happening:

create spins up a short-lived MCP HTTP endpoint for this user
The toolkits array contains "onetapcheckin" for OneTapCheckIn access
session.mcp.url is the MCP URL that Mastra's MCPClient will connect to

Configure Mastra MCP client and fetch tools

typescript

const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);

What's happening:

MCPClient takes an id for this client and a list of MCP servers
The headers property includes the x-api-key for authentication
getTools fetches the tool definitions exposed by the OneTapCheckIn toolkit

Create the Mastra agent

typescript

const agent = new Agent({
    name: "onetapcheckin-mastra-agent",
    instructions: "You are an AI agent with OneTapCheckIn tools via Composio.",
    model: "openai/gpt-5",
  });

What's happening:

Agent is the core Mastra agent
name is just an identifier for logging and debugging
instructions guide the agent to use tools instead of only answering in natural language
model uses openai("gpt-5") to configure the underlying LLM

Set up interactive chat interface

typescript

let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        onetapcheckin: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});

What's happening:

messages keeps the full conversation history in Mastra's expected format
agent.generate runs the agent with conversation history and OneTapCheckIn toolsets
maxSteps limits how many tool calls the agent can take in a single run
onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with OneTapCheckIn and Mastra AI:

typescript

import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["onetapcheckin"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      onetapcheckin: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "onetapcheckin-mastra-agent",
    instructions: "You are an AI agent with OneTapCheckIn tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { onetapcheckin: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with OneTapCheckIn through Composio's Tool Router. You can extend this further by:

Adding other toolkits like Gmail, Slack, or GitHub
Building a web-based chat interface around this agent
Using multiple MCP endpoints to enable cross-app workflows

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

Use OneTapCheckIn MCP with OpenAI Agents SDK

Claude Agent SDK

Use OneTapCheckIn MCP with Claude Agent SDK

Claude Code

Use OneTapCheckIn MCP with Claude Code

Claude Cowork

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Codex

Use OneTapCheckIn MCP with Codex

OpenClaw

Use OneTapCheckIn MCP with OpenClaw

Hermes

Use OneTapCheckIn MCP with Hermes

CLI

Use OneTapCheckIn MCP with CLI

Google ADK

Use OneTapCheckIn MCP with Google ADK

LangChain

Use OneTapCheckIn MCP with LangChain

Vercel AI SDK

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LlamaIndex

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CrewAI

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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. Mastra 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.

Start with OneTapCheckIn.It takes 30 seconds.

Managed auth, hosted MCP servers, and every OneTapCheckIn tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

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How to integrate OneTapCheckIn MCP with Mastra AI

Connect OneTapCheckIn without auth hassles

Introduction

Also integrate OneTapCheckIn with

TL;DR

What is Mastra AI?

What is the OneTapCheckIn MCP server, and what's possible with it?

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import libraries and validate environment

Create a Tool Router session for OneTapCheckIn

Configure Mastra MCP client and fetch tools

Create the Mastra agent

Set up interactive chat interface

Complete Code

Conclusion

Supported Tools

How to build OneTapCheckIn MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

LlamaIndex

CrewAI

Explore Other Toolkits

Bookingmood

Booqable

Calendarhero

Check Cherry

Frequently asked questions

What are the differences in Tool Router MCP and OneTapCheckIn MCP?+

Can I use Tool Router MCP with Mastra AI?+

Can I manage the permissions and scopes for OneTapCheckIn while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with OneTapCheckIn.It takes 30 seconds.

Teams ship real agents on Composio