How to Use the Content ROI Calculator MCP in AutoGen

Debate your marketing spend. Use Content ROI Calculator in AutoGen to let agents negotiate budget based on hard data.

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Connect Content ROI Calculator MCP to AutoGen

Create your Vinkius account to connect Content 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 Content ROI Calculator with AutoGen

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Negotiate production costs

Assign the cost-analysis task to an agent using `calculate_total_cost`. Your agents will debate whether the reported production expenses align with current market standards. This brings a critical eye to your budget. You get a consensus on what your content actually costs before you commit to new projects.

Challenge revenue attribution

Use `calculate_attributed_revenue` to provide a baseline for your agents to argue over. One agent might challenge the attribution model while another defends the results. This creates a rigorous vetting process for your marketing metrics. You ensure that only valid revenue data influences your final strategic decisions.

Converge on ROI decisions

Have your agents call `calculate_roi_summary` to finalize the profitability report. The team of agents must agree on the metrics before presenting the final ROI summary to you. This forces your system to reconcile cost and revenue data. You get a vetted, consensus-driven report that is ready for executive review.

Setup guide

Set up Content 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 Content 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="Content ROI Calculator_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Content 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="Content ROI Calculator_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Content 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 Content 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 Content ROI Calculator MCP in AutoGen

Agents call the tools as part of their discussion. They trade data and critique each other's conclusions until they converge on a final ROI figure.

Yes. You can have one agent fetch market benchmarks while another runs the ROI tools. They will then negotiate the implications of the difference.

It provides a source of truth for your agents. By having them agree on the math, you avoid the common trap of relying on a single, potentially biased perspective.

The MCP provides the tools to all agents in your group. Each agent can access the same calculation logic, ensuring consistency in your multi-agent debate.

The MCP acts as a local tool provider for your agents. It only processes the production cost and revenue attribution numbers you submit, ensuring your raw data remains within your local environment.

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