How do I find my Publisher ID for queries?

Use the `list_accounts` tool. It will return all accounts associated with your token, including their unique IDs and account types (Publisher or Advertiser).

Can I filter transactions by status?

Yes. When using the `list_transactions` tool, you can provide a status parameter such as 'pending', 'approved', 'declined', or 'deleted' to narrow down your results.

How far back can I retrieve transaction data?

The Awin API allows you to retrieve individual transactions for a maximum range of 31 days per request. For longer periods, you may need to perform multiple targeted queries.

Awin MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Awin
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Awin through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Awin "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Awin?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Awin MCP Server

Orchestrate your affiliate marketing performance with Awin, the world's leading affiliate network. By connecting Awin to your AI agent, you transform complex data retrieval and program management into a natural conversation. Your agent can instantly audit transaction history, list joined advertiser programmes, retrieve real-time performance reports, and even generate tracked affiliate links without you ever touching a dashboard. Whether you're a publisher optimizing revenue or an advertiser monitoring relationships, your agent acts as a direct bridge to your Awin account, ensuring your marketing efforts are always data-driven and efficient.

Pydantic AI validates every Awin tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Account Oversight — List all publisher and advertiser accounts you have access to across the Awin network.
Programme Management — Explore joined or available advertiser programmes, auditing relationship statuses and requirements.
Transaction Auditing — Retrieve detailed lists of individual transactions, complete with metadata, status, and conversion values.
Performance Reporting — Access aggregated performance reports to analyze revenue and conversion trends over specific timeframes.
Link Generation — Instantly generate tracking links for destination URLs to ensure your affiliate traffic is correctly attributed.

The Awin MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Awin to Pydantic AI via MCP

Follow these steps to integrate the Awin MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Awin with type-safe schemas

Why Use Pydantic AI with the Awin MCP Server

Pydantic AI provides unique advantages when paired with Awin through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Awin integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Awin connection logic from agent behavior for testable, maintainable code

Awin + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Awin MCP Server delivers measurable value.

Type-safe data pipelines: query Awin with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Awin tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Awin and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Awin responses and write comprehensive agent tests

Awin MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Awin to Pydantic AI via MCP:

generate_tracking_link

Generate an Awin tracking link for a destination URL

get_account_check

Verify Awin connection and list available accounts

get_aggregated_report

Get aggregated performance reports

list_accounts

List all accounts (publisher/advertiser) you have access to

list_available_programmes

Helper to list only available programmes to join

list_joined_programmes

Helper to list only joined programmes

list_programmes

List joined or available advertiser programmes for a publisher

list_promotions

Retrieve details of promotions and voucher codes for a publisher

list_publishers

List all publishers with an active relationship (for advertisers)

list_transactions

List individual transactions for a publisher (max 31 days)

Example Prompts for Awin in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Awin immediately.

"List all advertiser programmes I have joined on Awin for Publisher ID 12345."

"Generate an Awin tracking link for https://example.com/product using Publisher 12345 and Advertiser 6789."

"Show my aggregated performance report for the last 7 days in UTC."

Troubleshooting Awin MCP Server with Pydantic AI

Common issues when connecting Awin to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Awin + Pydantic AI FAQ

Common questions about integrating Awin MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Awin MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.