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Spoonacular MCP Server

@ddsky

Repository

Basic information

Category

Other

Transports

stdio

Author

ddsky

Submitted by

David Urbansky

About Spoonacular MCP Server

Allows AI agents to programmatically:

#food#recipes#nutrition

Spoonacular MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "spoonacular": {
      "command": "spoonacular-mcp",
      "env": {
        "SPOONACULAR_API_KEY": "your_api_key_here"
      }
    }
  }
}

Spoonacular MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Spoonacular Mcp?

Spoonacular Mcp is a server that allows AI agents to programmatically search for recipes, retrieve detailed recipe profiles, and use structured nutritional and ingredient data within conversations or planning. It is designed for developers integrating the Spoonacular API into AI interfaces via the MCP toolset.

How to use Spoonacular Mcp?

Use it by connecting an MCP‑compatible AI agent to the Spoonacular API through this server. The README does not provide specific installation or command details.

Key features of Spoonacular Mcp

  • Search for recipes by keyword
  • Retrieve detailed recipe profiles
  • Access structured nutritional and ingredient data

Use cases of Spoonacular Mcp

  • A meal‑planning AI assists users by searching for recipes based on dietary preferences.
  • A conversational nutrition coach retrieves detailed ingredient and nutritional information during a chat.
  • An automated cooking assistant pulls recipe profiles and lists ingredients for step‑by‑step guidance.

Frequently asked questions

1

What can AI agents do with Spoonacular Mcp?

AI agents can search for recipes by keyword, retrieve detailed recipe profiles, and use structured nutritional and ingredient data within conversations or planning.

2

Who is the intended audience for Spoonacular Mcp?

It is designed for developers integrating Spoonacular into AI interfaces via the MCP toolset.

3

What transport or protocol does Spoonacular Mcp use?

It uses the Model Context Protocol (MCP) as the communication layer between the AI agent and the Spoonacular API.

Comments

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