Spoonacular MCP Server for Mastra AI 4 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Spoonacular through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"spoonacular": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Spoonacular Agent",
instructions:
"You help users interact with Spoonacular " +
"using 4 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Spoonacular?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Spoonacular tool infrastructure. Connect 4 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Spoonacular MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 4 tools from Spoonacular via MCP
Why Use Mastra AI with the Spoonacular MCP Server
Mastra AI provides unique advantages when paired with Spoonacular through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Spoonacular without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Spoonacular tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Spoonacular + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Spoonacular MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Spoonacular, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Spoonacular as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Spoonacular on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Spoonacular tools alongside other MCP servers
Spoonacular MCP Tools for Mastra AI (4)
These 4 tools become available when you connect Spoonacular to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Spoonacular to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSpoonacular + Mastra AI FAQ
Common questions about integrating Spoonacular MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.