How to Use the Spoonacular MCP in Vercel AI SDK
Stream real-time food data results into any UI with Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Spoonacular MCP to Vercel AI SDK
Create your Vinkius account to connect Spoonacular 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
Display ingredient matching in real time.
When a user inputs ingredients, the `recipes_by_ingredients` tool streams back ranked recipes. This means your frontend doesn't hang on a spinner; you see the results appear immediately as they arrive via the streaming function call. It’s perfect for making live filtering feel snappy.
Update nutrition panels dynamically.
To show detailed dietary information, call `get_recipe_nutrition`. Because this tool streams, you can update your React component's state—showing the fat content, then the carb count—as each data point is received. This improves the perceived performance drastically.
Provide instant recipe insights from URLs.
Need to pull data from a blog post? Use `extract_recipe` and stream the resulting structured JSON object into your UI. The real-time flow lets you show the user, 'Extracting Title...' followed immediately by the title data, making the process transparent.
Set up Spoonacular 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 Spoonacular 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 Spoonacular 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 Spoonacular. 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.
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 Spoonacular MCP in Vercel AI SDK
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