What dietary filters are available?

Spoonacular supports: vegetarian, vegan, gluten-free, ketogenic, paleo, whole30, lacto-vegetarian, ovo-vegetarian, pescetarian, and primal diets. You can also filter by intolerances like dairy, egg, gluten, peanut, sesame, and soy.

Can I get full nutritional analysis for the recipes?

Yes, every recipe includes a comprehensive nutritional breakdown including calories, macronutrients, and micronutrients.

Is there a limit to the daily requests on the free tier?

Yes, the free tier allows up to 150 points (requests) per day.

Spoonacular MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes

Name: Spoonacular
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 4 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Spoonacular through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Spoonacular Assistant",
            instructions=(
                "You help users interact with Spoonacular. "
                "You have access to 4 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Spoonacular"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 OpenAI Agents SDK auto-discovers all 4 tools from Spoonacular through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Spoonacular, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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.

Free tier: 150 requests/day. The most widely used recipe API by professional developers worldwide.

The Spoonacular MCP Server exposes 4 tools through the Vinkius. Connect it to OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Spoonacular MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 4 tools from Spoonacular

Why Use OpenAI Agents SDK with the Spoonacular MCP Server

OpenAI Agents SDK provides unique advantages when paired with Spoonacular through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Spoonacular + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Spoonacular MCP Server delivers measurable value.

Automated workflows: build agents that query Spoonacular, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Spoonacular, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Spoonacular tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Spoonacular to resolve tickets, look up records, and update statuses without human intervention

Spoonacular MCP Tools for OpenAI Agents SDK (4)

These 4 tools become available when you connect Spoonacular to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting Spoonacular to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Spoonacular + OpenAI Agents SDK FAQ

Common questions about integrating Spoonacular MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.