How to Use the Marketing ROI Calculator MCP in LlamaIndex

Index campaign data and query insights with the Marketing ROI Calculator for LlamaIndex.

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Connect Marketing ROI Calculator MCP to LlamaIndex

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

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Claude

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Gemini

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MCP Server Knowledge Indexing

LlamaIndex ingests the results of your calculations. After running `compute_rois_metrics_comparative`, the output metrics are indexed into a searchable knowledge base. This means you can query past campaign performance and get answers grounded in the exact calculated data, not just general text.

Attribution Data Retrieval

You don't just run `calculate_attributed_revenue`; you index it. If a user asks about Q3 revenue spikes, your agent retrieves the stored attributed gross revenue figures from that specific time period. This gives deep context to your RAG application, allowing users to ask questions like 'Why did Campaign X perform better than expected?'

Historical Investment Querying

The `query_marketing_investment_total` results become part of the index. You can then build a query that asks, 'What was our total investment in paid search for 2023?' LlamaIndex finds this specific data point and presents it alongside related campaign metrics.

Setup guide

Set up Marketing ROI Calculator MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Marketing ROI Calculator MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Marketing ROI Calculator tools.",
)
response = await agent.run("List recent Marketing ROI Calculator data")

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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 LlamaIndex

You run the calculation via an MCP tool, and then you index the resulting data. This allows your agent to retrieve specific financial figures for later questioning.

Yes. The calculated metrics are structured enough that they become excellent source material for indexing, making them part of your long-term business intelligence.

The data remains highly accurate because the results from MCP tools are added as factual nodes to the vector store. There's no chance of hallucination on core metrics.

It handles campaign investment totals, attributed gross revenue figures, and comparative performance metrics that you can search against historical records.

Definitely. You'll use a query to combine multiple calculated data points—like comparing attributed revenue from one quarter with investment totals from another.

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