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How to Use the Blended CAC Calculator MCP in Vercel AI SDK

Real-time CAC Analysis Results for Your Vercel AI SDK UI

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect Blended CAC Calculator MCP to Vercel AI SDK

Create your Vinkius account to connect Blended CAC Calculator to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

See Spend Trends in Real Time with the MCP Server

Your agent can immediately check if your blended CAC is trending up or down. Running `analyze_mom_trend` tells you exactly that; a positive result means things are getting worse, and negative suggests improvement. This real-time data flow is perfect for Vercel AI SDK frontends. You don't need a loading spinner—the numbers just appear as the user sees them.

Optimize Budget Allocation with Your AI Client

The system knows how to recommend where you should spend next. Calling `assess_budget_efficiency` returns ranked channels along with suggested budget percentages and plain language advice. This capability is crucial for building user-facing tools. You'll stream the optimal spending plan directly into your React or Svelte component.

Calculate Core CAC Metrics on the Fly

Need to know the baseline spend metrics? Use `calculate_cac_metrics` by feeding it simple channel and spend data. It calculates both blended CAC across all channels and gives you a precise per-channel breakdown. It's clean, fast math that streams right into your Next.js page. Your users see the final numbers pop up instantly.

Setup guide

Set up Blended CAC Calculator MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Blended CAC Calculator tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Blended CAC Calculator transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Blended CAC 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

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Real-time monitoring

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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 Blended CAC Calculator MCP in Vercel AI SDK

You call `analyze_mom_trend` and stream the result directly into your UI. This lets users see if their blended CAC is improving or declining as data comes in, giving them instant feedback.
The `assess_budget_efficiency` tool returns a ranked list of channels and suggests specific budget percentages. You can display this structured advice in your web app as the user interacts with it.
Absolutely. Feed the tool spending data via `calculate_cac_metrics`. Your agent processes this, giving you both a blended total and detailed per-channel costs that stream into your front end.
Yes. The tools are built to accept JSON arrays containing channel names and spending amounts, making it easy to process diverse datasets right inside your client application.
This MCP handles raw financial metrics: spend amounts, channel names, and calculated cost per acquisition (CAC).

Start using the Blended CAC Calculator MCP today

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