How to Use the Marketing ROI Calculator MCP in LangChain

Q: What is the best way to use the Marketing ROI Calculator for complex analysis in LangChain?

Start by letting your agent run computeroismetricscomparative. This gives you the highest-level metrics, and then you can drill down with specific revenue or cost calls.

Build complex reasoning with the Marketing ROI Calculator for LangChain.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Marketing ROI Calculator MCP to LangChain

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

GDPR Included with Plan

Setup Marketing ROI Calculator with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

LangChain Agent Decision Making

Your agent determines the calculation path dynamically. It can call `compute_rois_metrics_comparative` first, then use that result to decide if it needs more context. This means you don't write fixed pipelines; your AI client decides which metrics are missing and calls tools in the optimal order. The output of one tool directly becomes the input for the agent’s next step.

Attribution & Cost Chains

You can design multi-step flows that handle attribution complexity. For example, the chain runs `calculate_attributed_revenue` to find gross revenue. Then, it immediately calls `query_marketing_investment_total` using the same date range and campaign ID. This gives you a complete revenue-to-cost pair for your subsequent analysis.

Full Financial Modeling Chain

Need to model the whole picture? The agent can run all three tools in sequence. It first queries total investment, then calculates attributed revenue, and finally uses both figures together to compute comparative ROIs. This makes it simple for your client to build a complete reasoning loop without needing complex conditional logic in your code.

Setup guide

Set up Marketing ROI Calculator MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Marketing ROI Calculator tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "marketing-roi-calculator-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Marketing ROI Calculator transactions"
    })
    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.

Why Choose Vinkius

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

Connect Marketing 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 Marketing ROI Calculator MCP in LangChain

You pass the MCP tool list directly to your agent. The ReAct pattern handles the decision-making, determining if it needs to calculate attributed revenue or just query costs first.

Absolutely. Because the tool output is structured data, it feeds cleanly into other agents' context windows, letting them build upon financial findings.

It works with campaign investment totals, attributed gross revenue figures, and comparative performance metrics across multiple channels.

Yes. You can build a chain that runs the calculation and then formats the results into a JSON object, which another agent can read and summarize.

Start by letting your agent run `compute_rois_metrics_comparative`. This gives you the highest-level metrics, and then you can drill down with specific revenue or cost calls.

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