How to Use the Ad4Game MCP in Pydantic AI

Type-safe game advertising automation using Ad4Game and Pydantic AI.

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Connect Ad4Game MCP to Pydantic AI

Create your Vinkius account to connect Ad4Game 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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Setup Ad4Game with Pydantic AI

Ask AI about this MCP

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Claude

Perplexity

Validate ad inventory automatically

Marketing APIs are notorious for returning messy JSON. When your agent calls `list_offers`, Pydantic AI ensures every single returned item matches your exact schema expectations. If the payload is missing a required field, the system fails loudly. You get a clear validation error instead of silent corruption bleeding into your database.

Extract strict campaign details

Getting the specifics of a game ad requires precision. The `get_offer_details` tool pulls the target geos and payout structures, letting your agent make routing decisions. Being model-agnostic gives you options. You can use Anthropic for complex reasoning on the offer terms, or switch to a local model if you just need basic text extraction.

Secure creative assets via MCP Server

Grabbing the right banner link is a core task for marketing bots. Your agent runs `get_creatives` to fetch the exact media URLs associated with a specific campaign. Setup is strictly unified now. You pass your Vinkius endpoint directly into the toolset constructor and hand it to the agent, completely bypassing the deprecated HTTP classes.

Setup guide

Set up Ad4Game 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 deprecated MCPServerHTTP class with full protocol support.
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

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": {
        "ad4game-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Ad4Game tools.",
)

result = await agent.run("List recent Ad4Game transactions")
print(result.output)

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Common questions about Ad4Game MCP in Pydantic AI

Install the slim package with MCP extras. Create a toolset using your Vinkius HTTP endpoint, then pass it to your agent's list.

Yes. Every response from the MCP Server gets validated at runtime. Bad data triggers an immediate exception before your agent can hallucinate an answer.

The framework doesn't care which LLM you use. You can query the ad catalog using OpenAI, Gemini, or a locally hosted Llama instance.

No. That method is deprecated. Always use the unified toolset approach for connecting to an external MCP Server.

Authentication happens at the edge, and the server runs ephemerally. Your specific validation rules stay local, while the remote sandbox only touches the raw creative URLs before terminating.

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