How to integrate Adtraction MCP with Pydantic AI

This guide walks you through connecting Adtraction to Pydantic 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 Pydantic 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 Pydantic 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 Pydantic 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 SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Adtraction
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Adtraction workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

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:
  • Python 3.9 or higher
  • A Composio account with an active 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

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Adtraction
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Adtraction
  • MCPServerStreamableHTTP connects to the Adtraction MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Adtraction
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["adtraction"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an 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
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
adtraction_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[adtraction_mcp],
    instructions=(
        "You are a Adtraction assistant. Use Adtraction tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Adtraction endpoint
  • The agent uses GPT-5 to interpret user commands and perform Adtraction operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Adtraction.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Adtraction API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Adtraction
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["adtraction"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    adtraction_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[adtraction_mcp],
        instructions=(
            "You are a Adtraction assistant. Use Adtraction tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Adtraction.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Adtraction through Composio's Tool Router. With this setup, your agent can perform real Adtraction actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Adtraction for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
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

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. Pydantic 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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