How to Use the Hydration Calculator MCP in Vercel AI SDK

Q: How do I use the Hydration Calculator with Vercel AI SDK?

You call the tool endpoint via mcpClient.tools() and pass your flour/liquid weights as arguments. The result streams back, letting you display the hydration percentage immediately in your React UI.

See dough results stream live in your UI using Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Hydration Calculator MCP to Vercel AI SDK

Create your Vinkius account to connect Hydration 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

Setup Hydration Calculator with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Real-time Hydration Analysis

Your agent calls `calculate_hydration` to get the exact mix percentage based on flour and liquid weights. You can stream this result directly into your Next.js component, showing the user data appearing live instead of waiting for a spinner. This mechanism lets developers build frontends where the end user sees the AI working in real time. It's ideal for building interactive tools that feel instant.

Dough Type Classification

Need to know what kind of baked good a recipe is? Use `determine_dough_type` with flour and salt data. The MCP sends back the specific dough type, letting your frontend handle specialized UI elements for bread or pizza. Since you're building user-facing products, this real-time feedback loop keeps your application snappy and responsive. You pass the tool result straight into state management.

Texture Prediction on Demand

The `classify_texture` function predicts crumb structure based on hydration percentages and a profile name. This gives you immediate feedback, which is perfect for an embedded guide in your app. It's simple: call the tool, get the classification result, and display it immediately to the user without any complex loading states or separate API calls.

Setup guide

Set up Hydration 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

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 Hydration Calculator 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 Hydration Calculator transactions",
});

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

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 Hydration 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 Hydration 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 Hydration Calculator MCP in Vercel AI SDK

You call the tool endpoint via `mcpClient.tools()` and pass your flour/liquid weights as arguments. The result streams back, letting you display the hydration percentage immediately in your React UI.

Absolutely. You can chain calls; for instance, first calculate hydration, then use that result to classify the texture. The streaming nature supports sequential logic perfectly.

The tool requires specific inputs: the flour composition and the salt composition of your ingredients to accurately determine the suitable baked good.

Yes, that's the point. The entire MCP tool execution streams directly into your client, eliminating typical loading delays and making the process feel native to your application.

This MCP only touches non-sensitive ingredient weights and flour compositions. The credential handling uses a zero-trust proxy, meaning your keys are never stored on disk.

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