How to Use the Content ROI Calculator MCP in LlamaIndex

Index your marketing performance. Connect Content ROI Calculator to LlamaIndex to build a searchable knowledge base of content value.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Content ROI Calculator MCP to LlamaIndex

Create your Vinkius account to connect Content ROI Calculator to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Content ROI Calculator with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Index total production costs

Run `calculate_total_cost` to turn your production expenses into queryable data points. By indexing these results, you create a searchable history of what every piece of content actually cost to produce. This approach lets you query your own performance history. You stop looking at spreadsheets and start asking your agent about past cost trends.

Ground revenue data in your index

Use `calculate_attributed_revenue` to generate precise attribution figures that LlamaIndex can store. This makes your revenue data discoverable alongside your content strategy documents. Your agent can now answer questions about which topics generate the most revenue based on live data. It grounds your marketing strategy in actual conversion history.

Query your ROI summary

Call `calculate_roi_summary` and feed the output into your vector store for long-term tracking. You can now search for high-ROI assets across your entire content portfolio. This turns your financial reports into a permanent knowledge asset. You get a clear view of which content strategies paid off over time.

Setup guide

Set up Content 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 Content 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 Content ROI Calculator tools.",
)
response = await agent.run("List recent Content ROI Calculator data")

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Content ROI Calculator now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Content ROI Calculator MCP in LlamaIndex

Yes. Once you run the tools, the data is indexed as part of your knowledge base. You can perform semantic searches to find your most profitable content.

It provides the quantitative grounding for your RAG system. Instead of hallucinating performance, your agent references the exact revenue and cost numbers calculated by the tools.

You can trigger these tools whenever you update your marketing data. The index will reflect the latest calculations, ensuring your agent always has current ROI information.

It only requires the specific cost figures you provide to the tool functions. You maintain full control over what data is processed and indexed.

The MCP operates as a stateless processor of your input values. It only handles content production costs and revenue attribution metrics, and it does not store your data on external servers.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript