How to Use the Awin MCP in Pydantic AI
Build strictly typed Awin affiliate workflows using Pydantic AI and our managed MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
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
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
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.
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Common questions about Awin MCP in Pydantic AI
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