Spoonacular MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Spoonacular through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Spoonacular, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Spoonacular MCP Server
The Spoonacular MCP Server connects your AI agent to the world's leading recipe and food intelligence platform — the gold standard for recipe search, meal planning, and nutritional analysis.
The Vercel AI SDK gives every Spoonacular tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
Core Capabilities
- Smart Recipe Search — Find recipes with powerful filters: cuisine, diet, intolerances, max calories, cooking time, and more.
- Find by Ingredients — Enter what's in your fridge and get recipes that maximize your available ingredients.
- Full Nutrition — Every recipe includes a complete nutritional breakdown: calories, protein, fat, carbs, and more.
- Random Inspiration — Get surprise recipe suggestions when you need cooking ideas.
- Diet Support — Built-in support for vegetarian, vegan, gluten-free, ketogenic, paleo, whole30, and more.
The Spoonacular MCP Server exposes 4 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Spoonacular to Vercel AI SDK via MCP
Follow these steps to integrate the Spoonacular MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 4 tools from Spoonacular and passes them to the LLM
Why Use Vercel AI SDK with the Spoonacular MCP Server
Vercel AI SDK provides unique advantages when paired with Spoonacular through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Spoonacular integration everywhere
Built-in streaming UI primitives let you display Spoonacular tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Spoonacular + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Spoonacular MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Spoonacular in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Spoonacular tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Spoonacular capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Spoonacular through natural language queries
Spoonacular MCP Tools for Vercel AI SDK (4)
These 4 tools become available when you connect Spoonacular to Vercel AI SDK via MCP:
find_recipes_by_ingredients
Enter a comma-separated list of ingredients you have, and get recipe suggestions that maximize usage of your available ingredients. Find recipes based on ingredients you have available
get_random_recipes
Perfect for meal inspiration. Get random recipe suggestions from Spoonacular
get_recipe_details
Get complete recipe details including ingredients, instructions, and nutrition
search_recipes
Returns recipes with full nutritional breakdown, cooking time, and dietary compatibility. Cuisine options: Italian, Mexican, Chinese, Indian, Japanese, Thai, Mediterranean, etc. Diet options: vegetarian, vegan, gluten-free, ketogenic, paleo, whole30. Search for recipes with optional filters for cuisine, diet, and nutrition
Example Prompts for Spoonacular in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Spoonacular immediately.
"What can I make with chicken, rice, and garlic?"
"Find a gluten-free dessert recipe under 300 calories."
"Show me the nutritional breakdown for spaghetti bolognese."
Troubleshooting Spoonacular MCP Server with Vercel AI SDK
Common issues when connecting Spoonacular to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSpoonacular + Vercel AI SDK FAQ
Common questions about integrating Spoonacular MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Spoonacular with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Spoonacular to Vercel AI SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.