How to Use the Marketing ROI Calculator MCP in OpenAI Agents SDK

Q: How do I check the ROI for my campaigns with OpenAI Agents SDK and Marketing ROI Calculator?

Use the computeroismetricscomparative tool to compare metrics across multiple campaigns. This function weighs performance data, giving you a clear picture of which initiatives are performing best against their investment.

Q: Does the Marketing ROI Calculator support attribution models for OpenAI Agents SDK?

Yes. The calculateattributedrevenue tool applies various attribution models to determine gross revenue. This gives your agent a much more accurate picture than basic reporting methods.

Q: Can I track total costs when using the Marketing ROI Calculator with OpenAI Agents SDK?

Absolutely. The querymarketinginvestmenttotal tool finds the aggregate marketing investment for any given date range. This makes sure your overall cost data is always accurate for reporting.

Q: If I need to run a quick ROI check with OpenAI Agents SDK and Marketing ROI Calculator, which tool is best?

For immediate comparison across several campaigns, the computeroismetricscomparative function is ideal. It's designed specifically for side-by-side performance analysis.

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Connect Marketing ROI Calculator MCP to OpenAI Agents SDK

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

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Setup Marketing ROI Calculator with OpenAI Agents SDK

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Deep ROI Analysis for OpenAI Agents SDK

The `calculate_attributed_revenue` tool figures out a campaign's gross revenue by applying specific attribution models. This lets you move beyond simple last-click reporting to see where the actual cash flow is coming from. You can also use this MCP Server's ability to find total costs for any date range via `query_marketing_investment_total`. Combine that with a comparison of performance using `compute_rois_metrics_comparative` to build complete financial stories.

Production-Grade Attribution Modeling

When building production agents, you need reliable data. This MCP Server allows your agent to calculate attributed revenue for a campaign using various attribution models. It's designed for full tracing via the OpenAI dashboard. Its built-in guardrails validate every action before execution. You won't get silent failures; your agent will either succeed or fail loudly, which is exactly what you want in a deployed product.

Advanced Multi-Campaign Reporting

Need to compare multiple marketing efforts? The `compute_rois_metrics_comparative` tool takes raw data and turns it into actionable performance metrics. It's perfect for your specialized agents handling financial reporting. Since you're building a system that handles complex tasks, this MCP Server lets your agent access total investment calculations across timeframes, giving you full visibility over every dollar spent.

Setup guide

Set up Marketing ROI Calculator MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Marketing ROI Calculator tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Marketing ROI Calculator tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Marketing ROI Calculator tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Marketing ROI Calculator Agent",
            instructions="You have access to Marketing ROI Calculator tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 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.

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Common questions about Marketing ROI Calculator MCP in OpenAI Agents SDK

Use the `compute_rois_metrics_comparative` tool to compare metrics across multiple campaigns. This function weighs performance data, giving you a clear picture of which initiatives are performing best against their investment.

Yes. The `calculate_attributed_revenue` tool applies various attribution models to determine gross revenue. This gives your agent a much more accurate picture than basic reporting methods.

Absolutely. The `query_marketing_investment_total` tool finds the aggregate marketing investment for any given date range. This makes sure your overall cost data is always accurate for reporting.

This server handles financial and campaign performance data, including raw revenue figures and total marketing investment amounts.

For immediate comparison across several campaigns, the `compute_rois_metrics_comparative` function is ideal. It's designed specifically for side-by-side performance analysis.

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