Magic Meal Kits MCP Server Integration

What does “Magic Meal Kits” MCP Server do?

The Magic Meal Kits MCP (Model Context Protocol) Server acts as a secure middleware between AI assistants and the Magic Meal Kits API. It enables AI-driven tools and assistants to programmatically access and query the Magic Meal Kits server version and related information. This allows developers to maintain a clean separation between their backend API and any AI-powered integrations while enabling AI agents to check the status of the Magic Meal Kits server. The server is designed with secure authentication practices using API keys and supports structured, versioned responses, making it easy to integrate into automated development workflows or to use as a health check for backend services.

List of Prompts

No prompt templates are mentioned in the repository.

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List of Resources

No explicit resources are listed or described in the repository.

List of Tools

• magic_meal_kits_server_version
  Allows AI assistants or clients to check the Magic Meal Kits server version. This tool does not require any parameters and returns structured information about the current server version.

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Use Cases of this MCP Server

• Server Health Checks
  Developers can use the MCP server to programmatically verify that the Magic Meal Kits backend is running the correct version, aiding in automated monitoring and deployment pipelines.

• AI Assistant Integration
  AI-powered clients (like Claude Desktop) can retrieve backend version information to ensure compatibility or trigger workflows based on specific Magic Meal Kits server versions.

• Secure API Bridging
  By using API keys and environment variables, the server helps ensure that sensitive credentials are not exposed to AI clients, maintaining a secure bridge between the backend and the AI layer.

• Automated Debugging
  Developers can run the MCP server in debug mode to test connections and outputs before deploying or integrating with production AI assistants.

How to set it up

Windsurf

No Windsurf-specific setup instructions are provided in the repository.

Claude

1. Prerequisites:

   • NodeJS
   • MCP Client (e.g., Claude Desktop App)
   • Magic Meal Kits API Key

2. Installation:

   • Install via Smithery:

     npx -y @smithery/cli install @pureugong/mmk-mcp --client claude
     

   • (Optionally) Install globally:

     npm install -g mmk-mcp
     

3. Configuration:

   • In your claude_desktop_config.json, add:

     {
       "mcpServers": {
         "magic-meal-kits": {
           "command": "npx",
           "args": ["-y", "mmk-mcp"],
           "env": {
             "MMK_API_KEY": "<your-api-key>",
             "MMK_API_BASE_URL": "<your-api-base-url>"
           }
         }
       }
     }
     

4. Save/Restart:

   • Save the configuration and restart the Claude Desktop App.

5. Verification:

   • Use the MCP Inspector tool to test the connection:

     npm install -g @modelcontextprotocol/inspector
     

Securing API Keys

• Use environment variables as shown in the JSON config above for MMK_API_KEY and MMK_API_BASE_URL.

Cursor

No Cursor-specific setup instructions are provided in the repository.

Cline

No Cline-specific setup instructions are provided in the repository.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "magic-meal-kits": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “magic-meal-kits” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion

Based on the available documentation and repository details, the Magic Meal Kits MCP Server is very minimal, focusing on a single tool (server version checking) and secure configuration. There’s no evidence of prompt templates, resources, or sampling support. The documentation is clear for Claude, but missing for other platforms. This MCP server is useful for health checks and AI integration, but its scope is narrow.

MCP Score

Overall, this MCP server scores a 3/10 for breadth and reusability. It is easy to set up for Claude and has clear documentation for one tool, but lacks depth in resources, prompts, and platform coverage.