How to Use the Nuviad Advertising MCP in Pydantic AI

Q: How do I register the Nuviad Advertising MCP server with Pydantic AI?

Use the MCPToolset class pointing to your Vinkius HTTP endpoint and pass it to the toolsets parameter of your Pydantic AI Agent. The framework automatically parses the server's schema and generates runtime validation models for all ten tools.

Q: Does this setup support the Server-Sent Events transport?

Yes, the MCPToolset in Pydantic AI natively supports both Streamable HTTP and SSE transports. This allows you to maintain stable, persistent connections to your Vinkius-hosted MCP tools.

Q: How is our mobile campaign targeting data protected?

All requests to listtargetinglists and campaign configurations are routed through Vinkius's ephemeral V8 sandboxes. Your proprietary audience criteria and geo-targeting setups are never stored, ensuring complete compliance with regional privacy regulations.

Validate your Nuviad mobile bidding and campaign structures at runtime with Pydantic AI.

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Connect Nuviad Advertising MCP to Pydantic AI

Create your Vinkius account to connect Nuviad Advertising 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 Nuviad Advertising with Pydantic AI

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Type-safe RTB bidding with Pydantic AI

Stop letting dirty API data break your bidding logic. By using this MCP Server with Pydantic AI, every single response from `list_micro_bids` and `list_micro_margins` is validated against strict Python schemas before your code executes. If the ad exchange returns an unexpected null value or an altered data type, the framework fails loudly. This guarantees that your agent never makes budget decisions based on corrupted or malformed data. You get absolute type safety across your entire programmatic trading desk, ensuring that your automated bidding loops remain completely stable under any market conditions.

Validated campaign reporting via Pydantic AI

Ensure your reporting pipelines are completely reliable. When your agent calls `request_campaign_report` and checks `get_report_status`, Pydantic AI enforces strict data models on the returned state. The final report content retrieved via `get_report_content` is parsed directly into strongly-typed Pydantic models. This prevents silent failures in your downstream analytics. If the report format changes or contains unexpected fields, your application catches the error immediately instead of passing bad data to your databases or visualization tools.

Safe targeting audits with strict schemas

Audit your targeting configurations without risking runtime exceptions. With this MCP toolset, the agent queries `list_targeting_lists` and `list_geo_locations` to map out your active audience profiles. Pydantic AI validates these lists against your internal campaign models, catching mismatched IDs or invalid geographic codes instantly. You can also audit your active assets by querying `list_creatives` and verifying that all image URLs and dimensions match your specific ad network requirements. This keeps your active campaigns fully compliant with exchange standards without requiring manual QA.

Setup guide

Set up Nuviad Advertising 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": {
        "nuviad-advertising-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nuviad. 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 Nuviad Advertising MCP in Pydantic AI

Use the `MCPToolset` class pointing to your Vinkius HTTP endpoint and pass it to the `toolsets` parameter of your Pydantic AI Agent. The framework automatically parses the server's schema and generates runtime validation models for all ten tools.

The framework will immediately raise a validation error, preventing the agent from acting on corrupt data. This is crucial when dealing with financial metrics like `list_micro_margins` where a malformed float could cause severe bidding errors.

Yes, Pydantic AI is completely model-agnostic. You can run local models or commercial APIs to query `get_reports_summary` or `list_campaigns`, while the framework handles the schema validation and tool execution.

Yes, the `MCPToolset` in Pydantic AI natively supports both Streamable HTTP and SSE transports. This allows you to maintain stable, persistent connections to your Vinkius-hosted MCP tools.

All requests to `list_targeting_lists` and campaign configurations are routed through Vinkius's ephemeral V8 sandboxes. Your proprietary audience criteria and geo-targeting setups are never stored, ensuring complete compliance with regional privacy regulations.

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