How to Use the ROAS Calculator MCP in OpenAI Agents SDK

Q: How do I use the ROAS Calculator with OpenAI Agents SDK?

Your agent calls calculateroas by providing two inputs: the money spent on media and the revenue generated. The resulting number tells you your current ad return.

Q: Can the ROAS Calculator help me plan spending with OpenAI Agents SDK?

Yes. You can run calculatebreakevenroas to find the minimum ROAS needed just to cover costs. This sets a solid guardrail for your entire ad budget.

Q: What is the target ROAS benchmark using the ROAS Calculator with OpenAI Agents SDK?

The gettargetbenchmark tool pulls industry averages based on what you tell it's your business. This gives immediate context, letting you know if your current performance is good or bad compared to competitors.

Q: Does the ROAS Calculator work with OpenAI Agents SDK for complex financial modeling?

It does. You can chain tools together; first, run gettargetbenchmark, then use that data point in conjunction with calculateroas to analyze variance.

Get precise ROAS calculation results for your OpenAI Agents SDK workflows.

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Connect ROAS Calculator MCP to OpenAI Agents SDK

Create your Vinkius account to connect ROAS 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 ROAS Calculator with OpenAI Agents SDK

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Calculate overall ad performance.

Need to know how well your ads are running? Use `calculate_roas` to measure Return on Ad Spend. Just feed it the media spend and source revenue, and you get a clear picture of campaign effectiveness. This is critical for financial agents. It lets your agent track performance metrics across channels without having to write boilerplate calculation code.

Determine target ROAS using OpenAI Agents SDK.

Before spending, you need a goalpost. The `get_target_benchmark` tool pulls industry-specific ROAS targets for your business type. This gives your agent context it needs to plan. It also helps figure out where your ad budget can safely go by running `calculate_break_even_roas`. Your agent knows exactly what the floor is, preventing overspending.

Full financial reporting with this MCP Server.

Your agent can build sophisticated reports using all three tools. It first determines optimal spending thresholds by running `calculate_break_even_roas`. Then it calculates current performance via `calculate_roas`, and finally, it compares everything to the market average using `get_target_benchmark`. This lets your agent automate complex financial decision-making that used to require a data science team.

Setup guide

Set up ROAS 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 ROAS Calculator tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives ROAS 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 ROAS 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="ROAS Calculator Agent",
            instructions="You have access to ROAS 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 ROAS 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 ROAS Calculator MCP in OpenAI Agents SDK

Your agent calls `calculate_roas` by providing two inputs: the money spent on media and the revenue generated. The resulting number tells you your current ad return.

Yes. You can run `calculate_break_even_roas` to find the minimum ROAS needed just to cover costs. This sets a solid guardrail for your entire ad budget.

The `get_target_benchmark` tool pulls industry averages based on what you tell it's your business. This gives immediate context, letting you know if your current performance is good or bad compared to competitors.

It does. You can chain tools together; first, run `get_target_benchmark`, then use that data point in conjunction with `calculate_roas` to analyze variance.

This MCP handles financial metrics like media spend, source revenue, and contribution margins. It only processes numerical ad performance data.

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