How to Use the Egg Boiling Timer MCP in Vercel AI SDK
Stream precise egg cooking metrics straight to your UI using this MCP and Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Egg Boiling Timer MCP to Vercel AI SDK
Create your Vinkius account to connect Egg Boiling Timer 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 perfect cook times in your Vercel AI SDK app
Stop guessing. Thermodynamics dictates how heat moves through an eggshell. This MCP calculates the exact seconds needed based on initial temperature, size, and atmospheric pressure. Your UI gets the exact timing from `calculate_boiling_time` instantly. No lag, no rubbery whites. Just perfect soft-boiled yolks. That’s the science of it.
Define precise textures for your users
Soft-boiled means different things to different people. One person wants runny yolk with firm whites; another wants jammy. We need clear, standardized definitions to avoid confusion. Use `get_texture_descriptions` to fetch culinary definitions. It translates raw numbers into clear goals. Keep it simple.
Sanitize kitchen inputs before cooking
Home cooks enter weird data. An egg cannot be freezing cold or boiling hot before it hits the pot. If the inputs are garbage, the output is garbage. Run `validate_egg_parameters` to catch mistakes before the water boils. It screens out bad sizes and impossible starting temperatures. Watch the clock.
Set up Egg Boiling Timer 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 Egg Boiling Timer 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 Egg Boiling Timer 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 Egg Boiling Timer. 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 Egg Boiling Timer MCP in Vercel AI SDK
Use it with your favorite AI tools
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Start using the Egg Boiling Timer MCP today
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