How to integrate Kit MCP with OpenAI Agents SDK

This guide walks you through connecting Kit to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Kit agent that can add new subscriber to your welcome form, create a custom field for subscriber notes, delete an outdated broadcast by its id through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Kit account through Composio's Kit MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Kit logoKit
Oauth2Api Key

Kit is a platform for creators and developers to automate tasks and publish apps on the Kit App Store. It helps streamline workflows so you can focus on what matters most.

42 Tools

Introduction

This guide walks you through connecting Kit to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Kit agent that can add new subscriber to your welcome form, create a custom field for subscriber notes, delete an outdated broadcast by its id through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Kit account through Composio's Kit MCP server.

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

Also integrate Kit with

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Kit
  • Configure an AI agent that can use Kit as a tool
  • Run a live chat session where you can ask the agent to perform Kit operations

What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

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

The Kit MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Kit account. It provides structured and secure access to your subscriber lists, tags, forms, and automations, so your agent can perform actions like managing subscribers, creating tags, updating custom fields, and handling broadcasts on your behalf.

  • Subscriber management and automation: Add new subscribers to forms, remove subscribers, or update their details to keep your audience lists accurate and engaged.
  • Custom field and tag creation: Automatically create, update, or delete custom fields and tags, making it easy to segment and personalize your communications.
  • Webhook and event setup: Set up or remove webhooks so your agent can listen for subscriber or purchase events and trigger automations as needed.
  • Broadcast and campaign control: Delete obsolete broadcasts or manage your messaging campaigns directly through your agent for streamlined outreach.
  • Account insights and configuration: Retrieve detailed account information, including plan details and primary contact, to keep your integrations and automations running smoothly.

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:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Kit project
  • Some knowledge of Python or Typescript
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
3

Install dependencies

npm install @composio/openai-agents @openai/agents dotenv

Install the Composio SDK and the OpenAI Agents SDK.

4

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

5

Import dependencies

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Kit.
6

Set up the Composio instance

dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
What's happening:
  • dotenv.config() loads your .env file so COMPOSIO_API_KEY and USER_ID are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.
7

Create a Tool Router session

// Create Tool Router session for Kit
const session = await composio.create(userId as string, {
  toolkits: ['kit'],
});
const mcpUrl = session.mcp.url;

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only kit.
  • The router checks the user's Kit connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Kit.
  • This approach keeps things lightweight and lets the agent request Kit tools only when needed during the conversation.
8

Configure the agent

// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Kit. Help users perform Kit operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Kit and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a hostedMcpTool that connects to the MCP server URL we created earlier.
  • The headers object includes the Composio API key for secure authentication with the MCP server.
  • requireApproval: 'never' means the agent can execute Kit operations without asking for permission each time, making interactions smoother.
9

Start chat loop and handle conversation

// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

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

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
What's happening:
  • The program prints a session URL that you visit to authorize Kit.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using run().
  • The responses are printed to the console.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Kit and OpenAI Agents SDK:

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['kit'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Kit. Help users perform Kit operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

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

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

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

Conclusion

This was a starter code for integrating Kit MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Kit.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
TOOLS

Supported Tools

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

Add Subscriber to Form

Add an existing subscriber to a form by their IDs.

Add Subscriber to Form by Email

Tool to add an existing subscriber to a form using their email address.

Create Broadcast

Tool to create a new broadcast (email campaign) to send to subscribers.

Create Custom Field

Tool to create a new custom field for subscriber data.

Create Subscriber

Tool to create a new subscriber or update an existing one (upsert).

Create Tag

Tool to create a new tag in the account.

Create Webhook

Creates a webhook subscription for real-time event notifications.

Delete Broadcast

Tool to delete a specific broadcast.

Delete Custom Field

Tool to delete a specific custom field.

Delete Subscriber

Unsubscribe a subscriber from all email communications by their ID.

Delete Tag

Tool to delete a tag by ID.

Delete Webhook

Tool to delete a webhook by ID.

Filter Subscribers

Tool to filter subscribers based on engagement criteria such as email opens, clicks, or delivery status.

Get Account

Tool to retrieve current account information.

Get Account Colors

Tool to retrieve list of colors associated with the account.

Get Broadcast

Tool to retrieve details of a specific broadcast by ID.

Get Broadcast Clicks

Tool to retrieve link click data for a specific broadcast by ID.

Get Broadcast Stats

Tool to retrieve statistics for a specific broadcast by ID.

Get Creator Profile

Tool to retrieve the creator profile information for the account.

Get Email Stats

Tool to retrieve email statistics for the account.

Get Growth Stats

Tool to retrieve growth statistics for the account over a date range.

Get Subscriber

Tool to retrieve a specific subscriber by their ID.

Get Subscriber Stats

Tool to retrieve email stats for a specific subscriber.

List Broadcasts

Tool to retrieve a paginated list of all broadcasts.

List Custom Fields

Tool to retrieve a paginated list of custom fields.

List Email Templates

Retrieve a paginated list of all email templates in the Kit account.

List Forms

Lists all forms in your Kit account with optional filtering and cursor-based pagination.

List Segments

Tool to retrieve a paginated list of segments.

List Sequences

Tool to retrieve a paginated list of all sequences.

List Subscribers

Tool to retrieve a list of subscribers.

List Subscribers For Form

Retrieves subscribers for a specific form by ID with optional filtering and cursor-based pagination.

List Tags

Retrieve a paginated list of all tags in the Kit account.

List Tag Subscribers

Tool to retrieve subscribers for a specific tag.

List Webhooks

Retrieve a paginated list of all webhooks configured in the Kit account.

Remove Tag From Subscriber

Tool to remove a tag from a subscriber using their subscriber ID.

Tag Subscriber

Tool to associate a subscriber with a specific tag by ID.

Tag Subscriber by Email

Assigns a tag to an existing subscriber using their email address.

Untag Subscriber by Email

Tool to remove a tag from a subscriber using their email address.

Update Account Colors

Tool to update the list of colors for the account.

Update Custom Field

Tool to update a custom field's label.

Update Subscriber

Tool to update an existing subscriber's information.

Update Tag

Tool to update a tag's name by ID.

FAQ

Frequently asked questions

With a standalone Kit MCP server, the agents and LLMs can only access a fixed set of Kit tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Kit and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. OpenAI Agents SDK 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 Kit tools.

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

Start with Kit.It takes 30 seconds.

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

Start building