How to Use the Pan Size Converter MCP in Vercel AI SDK
Get instant baking pan conversions streaming directly into your React components with the Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Pan Size Converter MCP to Vercel AI SDK
Create your Vinkius account to connect Pan Size Converter to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Stream live volume math in your AI SDK UI
This tool calculates the exact liquid capacity of any baking dish instantly using `calculate_volume` so your users can adjust recipes on the fly. Because Vercel AI SDK streams tool calls directly to the frontend, the calculated cubic inches or liters render live as the user types. You get instant updates on screen, keeping your edge functions fast and your interface incredibly responsive.
Find pan alternatives via Vercel AI SDK
This tool runs `find_equivalent_pan` to suggest the closest physical match in your database when swapping a 9-inch springform for a square cake pan. Next.js applications can immediately suggest a 10-inch square alternative when a baker lacks the exact round dish. Everything runs within your edge runtime, which means zero added cold-start overhead for your users.
Validate physical baking dimensions before rendering
This tool uses `validate_dimensions` to check the physics of the bakeware before running any calculations, preventing users from submitting impossible pan sizes. The Vercel AI SDK handles this validation step in the background. Your UI never displays broken data or weird baking advice because of a simple typo.
Set up Pan Size Converter 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 Pan Size Converter 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 Pan Size Converter 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 Pan Size Converter. 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 Pan Size Converter MCP in Vercel AI SDK
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