How to Use the Room Proportion Checker MCP in Vercel AI SDK

See architectural checks in real time using Vercel AI SDK.

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Connect Room Proportion Checker MCP to Vercel AI SDK

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

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Setup Room Proportion Checker with Vercel AI SDK

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Real-time Proportion Analysis

When you call `calculate_axis_balance_ratio`, your agent streams the harmony score directly into the UI. This means the end user sees data appearing live, eliminating the loading spinner delay. You can then stream results from both `classify_room_proportions` and `evaluate_floor_area_index`. The developer builds products where checking room dimensions against ergonomic standards feels immediate.

Streaming Multi-Dimensional Checks

The Vercel AI SDK handles the data flow, allowing your agent to process multiple checks without interrupting the UI. Use `calculate_axis_balance_ratio` to check visual symmetry while simultaneously getting a classification via `classify_room_proportions`. This makes complex architectural reviews feel instant for the user. Because the results stream back rapidly, you can build better user experiences that rely on immediate feedback rather than waiting for an API response.

Client-Side Dimension Feedback

Your agent uses `evaluate_floor_area_index` to assess overall spatial efficiency. The result streams right into your Next.js or Svelte component, giving the user actionable data immediately. You don't have to wait for a full page load. This real-time capability is perfect when building tools that require immediate feedback on raw room dimensions before submission.

Setup guide

Set up Room Proportion Checker 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all Room Proportion Checker tools. Pass them directly to generateText() or streamText() — 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.

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 Room Proportion Checker transactions",
});

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

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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 Room Proportion Checker. 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 Room Proportion Checker MCP in Vercel AI SDK

You call the MCP client's tool function, passing in the required width, length, and height. The Vercel AI SDK streams the resulting proportion data directly to your component as it calculates.

Yes, that's one of its biggest powers. Since you're building a user-facing product, the MCP tool results stream directly into your UI, so users see data appearing in real time.

It takes raw room dimensions (L, W, H). The system uses these measurements to determine if the space meets ergonomic standards and checks for visual harmony.

Absolutely. You can chain calls to different tools, like running `calculate_axis_balance_ratio` right before you classify the room proportions. The streaming nature makes this sequence feel seamless.

The server touches raw dimensional measurements, specifically length, width, and height (L, W, H). This is purely geometric data used for architectural analysis.

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