How to Use the Marketing ROI Calculator MCP in CrewAI

Q: What is the best way to compare ROI using Marketing ROI Calculator and CrewAI?

Assign a dedicated 'Metrics Agent' that uses computeroismetricscomparative. This agent takes finalized data from other team members (agents) and structures it into a clear, comparative report.

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Setup Marketing ROI Calculator with CrewAI

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Autonomous Budget Queries

Instead of one agent running everything, you can assign a specialized 'Finance Analyst' agent to run `query_marketing_investment_total`. This agent focuses solely on retrieving the total marketing investment for any given period. This role-based specialization means your crew doesn't get bogged down. One agent handles data gathering while another takes that output and performs analysis.

Revenue Attribution via CrewAI

You can set up an 'Attribution Agent' whose sole job is to use the `calculate_attributed_revenue` tool. This agent ingests raw campaign data, runs the model, and outputs a clear estimate of attributed gross revenue. This shared memory approach lets subsequent agents know exactly what revenue number was calculated without having to re-query or repeat steps.

Cross-Campaign Performance Review

To compare campaigns, you deploy a 'Strategy Agent' that uses `compute_rois_metrics_comparative`. This agent takes the revenue data from the Attribution Agent and compares it against other metrics to generate actionable insights. This hierarchical execution means the final output isn't just raw numbers; it's an analysis built step-by-step by a collaboration of specialized agents.

Setup guide

Set up Marketing ROI Calculator MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Marketing ROI Calculator tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Marketing ROI Calculator Analyst",
    goal="Access and analyze Marketing ROI Calculator data via MCP.",
    backstory="Expert analyst with direct Marketing ROI Calculator access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Marketing ROI Calculator transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Marketing ROI Calculator Analyst",
        goal="Access and analyze Marketing ROI Calculator data via MCP.",
        backstory="Expert analyst with direct Marketing ROI Calculator access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Marketing ROI Calculator transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

You define the roles: one agent for querying investment, another for calculating revenue attribution, and a third for comparison. The crew handles the sequential handoff of data between these specialized agents.

Yes, the MCP Server provides all three core tools needed: querying total investment, calculating attributed revenue, and comparing metrics. You just assign different roles within your crew to execute these tasks.

Assign a dedicated 'Metrics Agent' that uses `compute_rois_metrics_comparative`. This agent takes finalized data from other team members (agents) and structures it into a clear, comparative report.

You pass the MCP URL directly into your agents' configuration. The tool exposure is managed by the framework, allowing you to filter exactly which functions your crew needs access to.

It handles structured financial metrics, including gross revenue figures, marketing expenditure totals, and associated date ranges used for attribution models.

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