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How to Use the Awin MCP in Pydantic AI

Build strictly typed Awin affiliate workflows using Pydantic AI and our managed MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Pydantic AI

Connect Awin MCP to Pydantic AI

Create your Vinkius account to connect Awin to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Type-safe affiliate reporting

When your agent calls `list_transactions`, Pydantic AI checks every single field against your defined models. Financial data needs strict validation. If the API returns a string instead of a float for a commission payout, the system fails loudly. This prevents silent corruption in your reporting database. You can also run `get_aggregated_report` knowing the output will perfectly match your expected schema. Correctness matters more than speed when you deal with revenue.

Validate Awin MCP Server accounts

The `get_account_check` tool forces your agent to verify connection details before doing anything else. Connecting to the wrong publisher account can ruin a campaign. It guarantees you are working within the correct environment. Listing your actual relationships is just as strict. By calling `list_accounts`, your agent pulls the exact advertiser and publisher profiles you have access to. Every ID and name gets validated at runtime.

Fetch verified promotions

Your agent uses `list_promotions` to pull active deals directly from your advertisers. Grabbing voucher codes shouldn't involve guessing field names. Pydantic AI ensures the discount values and expiration dates are parsed correctly. You can also track your active partnerships with `list_joined_programmes`. The framework parses the programme details into rigid objects. You never have to worry about hallucinated commission structures.

Setup guide

Set up Awin MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Pydantic AI with FastMCP

    Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.

  2. 2

    Configure the FastMCPToolset

    Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.

  3. 3

    Create and run your agent

    Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "awin-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Awin tools.",
)

result = await agent.run("List recent Awin transactions")
print(result.output)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Awin. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Awin MCP in Pydantic AI

Install the slim package with MCP support. Create an `MCPToolset` pointing to your Vinkius HTTP endpoint and pass it to your Agent's `toolsets` parameter.
Yes. The framework is completely model-agnostic. You can use local LLMs to call `generate_tracking_link` just as easily as you would use OpenAI or Anthropic.
The framework enforces strict runtime validation. If a tool returns unexpected JSON structures, the agent throws a validation error instead of passing bad data to your application.
No. The `MCPServerHTTP` class is deprecated. You should use the unified `MCPToolset` approach with a Streamable HTTP transport.
Your financial metrics and voucher codes stay completely secure. The Vinkius platform runs the integration inside an isolated V8 environment that destroys itself the second your data transfer completes.

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