How to integrate Adtraction MCP with OpenAI Agents SDK

This guide walks you through connecting Adtraction to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Adtraction agent that can list this month's adtraction commissions, create tracking link for campaign, summarize transactions by partner program through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Adtraction account through Composio's Adtraction MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Adtraction logoAdtraction
Api Key

Adtraction is an affiliate marketing platform for partner programs, tracking links, transactions, commissions, statistics, and payments. It helps advertisers and publishers manage performance marketing with clear reporting and payout workflows.

22 Tools

Introduction

This guide walks you through connecting Adtraction to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Adtraction agent that can list this month's adtraction commissions, create tracking link for campaign, summarize transactions by partner program through natural language commands.

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

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

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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 Adtraction
  • Configure an AI agent that can use Adtraction as a tool
  • Run a live chat session where you can ask the agent to perform Adtraction 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 Adtraction MCP server, and what's possible with it?

The Adtraction MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Adtraction account. It provides structured and secure access to your partner programs, tracking links, performance data, transactions, commissions, and payments, so your agent can discover programs, create tracking links, analyze results, review earnings, and monitor payments on your behalf.

  • Program and offer discovery: Have your agent find partner programs, browse new programs and categories, review applications, and list available coupons, vouchers, and offers.
  • Tracking link and product workflows: Direct your agent to create affiliate tracking links, search products, and find product feeds for approved channels and advertiser programs.
  • Performance and commission reporting: Let the agent retrieve clicks and performance statistics, summarize commissions, and compare results across channels, programs, days, or campaigns.
  • Transaction and payment review: Instruct your agent to list recent or historical transactions, check account balances, review payments and their included transactions, or download payment specifications.
  • Tracking health monitoring: Have your agent check recent tracking errors and filter them by channel or program so you can investigate attribution issues.

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 Adtraction 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 Adtraction.
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 Adtraction
const session = await composio.create(userId as string, {
  toolkits: ['adtraction'],
});
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 adtraction.
  • The router checks the user's Adtraction connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Adtraction.
  • This approach keeps things lightweight and lets the agent request Adtraction 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 Adtraction. Help users perform Adtraction 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 Adtraction 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 Adtraction 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 Adtraction.
  • 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 Adtraction 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: ['adtraction'],
  });
  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 Adtraction. Help users perform Adtraction 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 Adtraction MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Adtraction.

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 Adtraction action and event your agent gets out of the box.

Create Tracking Link

Generate an externally usable Adtraction affiliate tracking URL for an approved channel and advertiser program.

Download Payment PDF

Download a partner payment specification as a PDF file.

Get Partner Balance

Retrieve pending, confirmed, invoiced, payable, and total Adtraction partner balances in one currency.

Get Commission Summary

Summarize Adtraction partner commission by commission type, payment status, or transaction status.

Get Partner Statistics

Retrieve aggregate Adtraction partner performance overall or grouped by channel, day, selected EPI dimensions, or program.

List Program Applications

List the connected partner's program applications, optionally filtered by program or channel.

List Partner Channels

List approved partner channels or retrieve a specific channel by ID.

List Clicks

List Adtraction click events in a date range with attribution, program, channel, market, and currency filters.

List Program Commission Types

List commission types for an Adtraction program, optionally using a channel for segment-specific rates.

List Currencies

List currencies available to the connected Adtraction partner account.

List Latest Transactions

Return a requested number of the connected partner's latest Adtraction transactions.

List Markets

List Adtraction markets and their numeric IDs and ISO country codes for use in program discovery, category, and reporting tools.

List New Programs

List recently added partner programs in an Adtraction market.

List Offers

List coupons, vouchers, and offers available to the connected Adtraction partner, optionally filtered by market, program, or channel.

List Payments

List partner payments, optionally filtered by currency and payment ID.

List Payment Transactions

List the transactions included in a specific partner payment.

List Product Feeds

List product feeds available for an advertiser program and approved partner channel.

List Program Categories

List program categories and program counts for an Adtraction market.

List Tracking Errors

List tracking errors recorded in the connected Adtraction partner account during the last seven days, optionally filtered by channel or program.

List Transactions

List Adtraction partner transactions in a date range with status, attribution, payment, market, currency, program, and channel filters.

Search Products

Search the Adtraction partner product database using text, program, market, currency, stock, price, and sort filters.

Search Programs

Find Adtraction partner programs in a market, optionally filtered by program, channel, approval status, and lifecycle status.

FAQ

Frequently asked questions

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

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

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