How to integrate Adtraction MCP with LangChain

This guide walks you through connecting Adtraction to LangChain 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 LangChain 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 LangChain 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 LangChain 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 ADKVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Adtraction project to Composio
  • Create a Tool Router MCP session for Adtraction
  • Initialize an MCP client and retrieve Adtraction tools
  • Build a LangChain agent that can interact with Adtraction
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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 step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI 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

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_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's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Adtraction functionality through MCP
6

Initialize Composio client

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

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Adtraction tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['adtraction']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Adtraction 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
  • This approach allows the agent to dynamically load and use Adtraction tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "adtraction-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Adtraction MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Adtraction tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Adtraction related question or task to the agent.\n");

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

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;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

Here's the complete code to get you started with Adtraction and LangChain:

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

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

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['adtraction']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "adtraction-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Adtraction related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    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;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\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

You've successfully built a LangChain agent that can interact with Adtraction through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-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

Vercel AI SDK logo

Vercel AI SDK

Use Adtraction MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Adtraction MCP with Mastra AI

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. LangChain 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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