How to integrate Adtraction MCP with Mastra AI

This guide walks you through connecting Adtraction to Mastra AI 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 Mastra AI 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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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 Mastra AI 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 Mastra AI 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.

Also integrate Adtraction with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKLlamaIndexCrewAI

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 Adtraction tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Adtraction 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 Adtraction 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 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:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

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 Adtraction through MCP.
3

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
4

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
5

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
6

Create a Tool Router session for Adtraction

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

  const composioMCPUrl = session.mcp.url;
  console.log("Adtraction MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "adtraction" for Adtraction access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

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 Adtraction toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "adtraction-mastra-agent",
    instructions: "You are an AI agent with Adtraction 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
9

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: {
        adtraction: 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 Adtraction 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 Adtraction 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: ["adtraction"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "adtraction-mastra-agent",
    instructions: "You are an AI agent with Adtraction 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: { adtraction: 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 Adtraction 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 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.

FRAMEWORKS

How to build Adtraction MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Adtraction MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Adtraction MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Adtraction MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Adtraction MCP with Claude Cowork

Codex logo

Codex

Use Adtraction MCP with Codex

OpenClaw logo

OpenClaw

Use Adtraction MCP with OpenClaw

Hermes logo

Hermes

Use Adtraction MCP with Hermes

CLI logo

CLI

Use Adtraction MCP with CLI

Google ADK logo

Google ADK

Use Adtraction MCP with Google ADK

LangChain logo

LangChain

Use Adtraction MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Adtraction MCP with Vercel AI SDK

LlamaIndex logo

LlamaIndex

Use Adtraction MCP with LlamaIndex

CrewAI logo

CrewAI

Use Adtraction MCP with CrewAI

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. 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 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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