How to Use the Zesty.io MCP in Google ADK

Q: How do I list all the models available via Zesty.io using the Google ADK?

You use the listcontentmodels toolset. This function returns a list of unique identifiers (ZUIDs) that your agent needs to proceed with content operations.

Q: Can I use the Google ADK for data validation on Zesty.io content?

Yes, you can retrieve existing data using getcontentitem. Your agent then processes this structured data before deciding if an update via updatecontentitem is necessary.

Q: What is the best way to check all Zesty.io instances with Google ADK?

The listzestyinstances tool handles this. It provides a centralized view of every instance ID, which your agent can then use in subsequent calls.

Act on structured data using the Google ADK with Zesty.io content management.

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Create your Vinkius account to connect Zesty.io 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 Zesty.io with Google ADK

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Managing Content Models and Instances

You can identify all available Model ZUIDs by calling `list_content_models`. This is crucial because your agent needs the correct ID to work with any content. The `list_zesty_instances` tool lets you map out every single Zesty.io instance associated with the account. It's a quick way for your enterprise agents to get context on all available data sources.

Handling Content Item Lifecycles

To start fresh, use `create_content_item` and pass in the necessary JSON payload. Once created, you can pull the full details using `get_content_item`. Need to change something? Just run `update_content_item`. This gives your agent complete control over content creation and modification within Zesty.io.

Auditing and Listing Content Data

Checking what exists is straightforward. Use `list_content_items` to see all items linked to a particular model ID. If the item is obsolete, you can run `delete_content_item` to remove it permanently. These methods give your agent full visibility into the entire content inventory.

Setup guide

Set up Zesty.io 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 Zesty.io 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="Zesty.io_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Zesty.io tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Zesty.io MCP in Google ADK

The MCP Server exposes standard Zesty tools that your LlmAgent can call directly within your Google Cloud environment. Your agent treats content management as another source of structured data to act upon.

You use the `list_content_models` toolset. This function returns a list of unique identifiers (ZUIDs) that your agent needs to proceed with content operations.

Yes, you can retrieve existing data using `get_content_item`. Your agent then processes this structured data before deciding if an update via `update_content_item` is necessary.

The `list_zesty_instances` tool handles this. It provides a centralized view of every instance ID, which your agent can then use in subsequent calls.

This server touches three types: Content Models, Content Items, and Instances. Always ensure the agent is running with appropriate permissions for all these resources.

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