How to Use the Marketing ROI Calculator MCP in AutoGen

Q: Can I use the Marketing ROI Calculator to improve my Marketing ROI Calculator decision process with AutoGen?

You can. Have one agent propose a calculation using calculateattributedrevenue, and another agent critique that methodology before it's accepted as truth.

Achieve consensus on ROI metrics using the Marketing ROI Calculator for AutoGen.

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Create your Vinkius account to connect Marketing ROI Calculator to AutoGen — 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 AutoGen

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Debating Financial Assumptions

You don't just get one answer; you get a debate. Multiple agents can discuss the findings of `compute_rois_metrics_comparative`. One agent might argue for Time Decay, while another pushes back with U-shaped attribution. The final decision is consensus-driven, forcing your system to reconcile competing financial theories.

Challenging Data Inputs

One agent can be designated the 'Skeptic.' This agent will challenge inputs like `query_marketing_investment_total`. If the initial cost data seems incomplete, the debate stalls until another tool or input is provided. This process makes your system fail-safe and highly accountable.

Multi-Perspective Attribution

The agents can collaborate to determine revenue attribution. One agent runs `calculate_attributed_revenue`, presenting the gross revenue figure. Another agent then validates that number against campaign IDs before a final consensus is reached. This ensures the calculated result has passed multiple internal checks.

Setup guide

Set up Marketing ROI Calculator MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Marketing ROI Calculator tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Marketing ROI Calculator_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Marketing ROI Calculator data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Marketing ROI Calculator_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Marketing ROI Calculator data")
    print(result.messages[-1].content)

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.

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Common questions about Marketing ROI Calculator MCP in AutoGen

You set up a group chat where agents debate the optimal methodology. The system doesn't just calculate; it negotiates the final, most defensible metric.

Yes. Because the tools provide concrete, numerical data (like total investment), agents have hard facts to argue with instead of vague concepts.

It handles campaign investment totals, attributed gross revenue figures, and comparative performance metrics that are used as evidence in multi-agent discussions.

You can. Have one agent propose a calculation using `calculate_attributed_revenue`, and another agent critique that methodology before it's accepted as truth.

Start by having agents run all three tools independently. Then, let them debate which combination of metrics provides the clearest path forward for investment.

Use it with your favorite AI tools

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

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