How to Use the ROAS Calculator MCP in Vercel AI SDK
Figure out ad profitability in real time with Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ROAS Calculator MCP to Vercel AI SDK
Create your Vinkius account to connect ROAS Calculator to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Gemini
Key Capabilities
Calculate true ROAS on the fly.
The `calculate_roas` tool takes media spend and source revenue to give you an immediate Return on Ad Spend number. This means your users see the calculation running live, not waiting for a button click. Developers can stream this data directly into their React or Next.js frontends. The end user sees the numbers appear in real time as the agent processes them.
Find your break-even point.
Need to know how much ROAS you actually need just to cover costs? Call `calculate_break_even_roas` first. This tool determines the minimum Return on Ad Spend required, given a specific contribution margin. This calculation helps users set immediate spending guardrails right in their application UI. It tells them where they can afford to spend without losing money.
Benchmark against industry averages.
Don't guess what good looks like. The `get_target_benchmark` tool fetches the current target ROAS benchmark for a specific business type. This gives immediate context to your numbers. Your agent client can display this comparison instantly, letting the user see how their performance stacks up against industry norms without leaving the page.
Set up ROAS Calculator MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all ROAS Calculator tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 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.
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 ROAS 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 ROAS 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 ROAS Calculator MCP in Vercel AI SDK
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