How to Use the Mealie (Recipe Manager) MCP in Google ADK

Q: Does this MCP Server support Gemini long-context windows?

Yes. You can pull your entire recipe collection using listrecipes and feed the raw JSON directly into Gemini's context window via Google ADK for deep analysis.

Connect your Mealie recipes to Google Cloud and Gemini workflows using the Google ADK for enterprise-grade meal planning.

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Connect Mealie (Recipe Manager) MCP to Google ADK

Create your Vinkius account to connect Mealie (Recipe Manager) to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Mealie (Recipe Manager) with Google ADK

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Long-context meal planning with Gemini

Google ADK lets you feed massive datasets into Gemini models. You can pull your entire culinary history using `list_recipes` and let the model analyze years of eating habits in a single prompt. The model processes all your recipes, tags, and categories at once. It then uses `create_meal_plan` to build a highly tailored monthly schedule based on your historical preferences.

Restricted toolsets for Google ADK agents

When building agents on Google Cloud, security is everything. The Google ADK allows you to filter which tools are exposed, so you can block destructive actions like `delete_recipe` or `delete_meal_plan` entirely at the toolset level. Your automated pipelines can still use read-only tools like `list_categories` and `list_tags`. This gives your agents the context they need without any risk of database modification.

Connect your kitchen data to Google Cloud

You can sync your home data with enterprise tools. Use the Google ADK to run an agent that pulls your grocery history via `list_shopping_lists` and exports it directly to BigQuery for cost analysis. The agent can then use `create_shopping_list` to update your local Mealie instance based on external price trends. Everything runs smoothly through the secure Vinkius MCP Server connection.

Setup guide

Set up Mealie (Recipe Manager) MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Mealie (Recipe Manager) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Mealie (Recipe Manager)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Mealie (Recipe Manager) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Mealie (Recipe Manager) MCP in Google ADK

You initialize the toolset using the streamable HTTP server parameters pointing to your Vinkius endpoint. Pass that toolset directly to your agent constructor so Gemini can call the recipe tools using this MCP Server.

Yes. The agent can read existing lists, create new ones using `create_shopping_list`, and check off items with `toggle_shopping_list_item` based on your instructions.

You can restrict the exposed tools in your toolset parameters. By omitting `delete_recipe` and `delete_meal_plan` from the active tool list, you ensure the agent cannot execute destructive calls.

Yes. You can pull your entire recipe collection using `list_recipes` and feed the raw JSON directly into Gemini's context window via Google ADK for deep analysis.

Your data is fully protected. Vinkius hosts the MCP Server inside a zero-trust, ephemeral V8 sandbox. Your recipe details, meal plans, and shopping list structures are encrypted in transit and never stored on our platform.

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