How to Use the Marketing ROI Calculator MCP in Pydantic AI

Q: Can I use the calculateattributedrevenue tool with Pydantic AI?

Yes. The calculateattributedrevenue tool calculates attributed gross revenue and then wraps that output in a validated Pydantic schema, giving you guaranteed data types.

Q: What's the best way to compare campaigns using Pydantic AI and Marketing ROI Calculator?

Use the computeroismetricscomparative tool. Since it validates its output, you can trust that the metrics provided are correctly structured for immediate use in your application logic.

Q: If I need to verify costs with Pydantic AI and Marketing ROI Calculator, which tool should I use?

The querymarketinginvestmenttotal function is your go-to. It retrieves the total marketing investment for a period and provides that number in a guaranteed, validated format.

Type-safe financial modeling for Pydantic AI and Marketing ROI Calculator.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Marketing ROI Calculator MCP to Pydantic AI

Create your Vinkius account to connect Marketing ROI Calculator to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Marketing ROI Calculator with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Validate Attributed Revenue in Pydantic AI

The `calculate_attributed_revenue` tool calculates attributed gross revenue, but the best part is that every response validates against a strict schema. This means your agent gets clean data—no hallucinated fields or unexpected types. This guarantees correctness when building production systems where silent failures are unacceptable. You can rely on the output to be exactly what you expect.

Schema-Validated ROI Comparison

When comparing performance, `compute_rois_metrics_comparative` handles multiple campaigns and ensures that all resulting metrics fit defined Pydantic models. This is a huge win for data integrity. If the input or output data deviates from the expected schema, your agent fails immediately with a validation error. That's how you build reliable tools.

Reliable Cost Querying

The `query_marketing_investment_total` tool calculates total marketing investment for any date range. Because of the Pydantic validation, you know that the returned cost figures are structured perfectly for downstream processes. It's not just about getting a number; it's about getting a *guaranteed* data type. This reliability is key for high-stakes financial reporting.

Setup guide

Set up Marketing ROI Calculator 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": {
        "marketing-roi-calculator-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Marketing ROI Calculator transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Marketing ROI Calculator. 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.

Connect Marketing ROI Calculator now

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 Marketing ROI Calculator MCP in Pydantic AI

The framework validates every MCP response against a defined schema at runtime. If the data is malformed, your agent fails loudly with an error, preventing bad data from corrupting your system.

Yes. The `calculate_attributed_revenue` tool calculates attributed gross revenue and then wraps that output in a validated Pydantic schema, giving you guaranteed data types.

Use the `compute_rois_metrics_comparative` tool. Since it validates its output, you can trust that the metrics provided are correctly structured for immediate use in your application logic.

This server handles financial records like attributed gross revenue and total marketing investment amounts. The Pydantic validation ensures these sensitive fields are always correctly typed and structured.

The `query_marketing_investment_total` function is your go-to. It retrieves the total marketing investment for a period and provides that number in a guaranteed, validated format.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript