How to Use the Amplience MCP in Google ADK

Q: How do I prevent unauthorized content deletion in Amplience using Google ADK?

You can exclude the deletecontentitem tool from the toolset filter during setup. This ensures the agent never has the ability to trigger a deletion command over MCP.

Q: What happens if a schema changes during an update?

The getcontentitem tool fetches the schema revision lock. Your agent checks this lock to ensure the update payload matches the live CMS requirements.

Control your Amplience repositories from Google ADK agents using long-context reasoning and secure schema execution.

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Connect Amplience MCP to Google ADK

Create your Vinkius account to connect Amplience 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 Amplience with Google ADK

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Enterprise content management via Google ADK

The `list_hubs` tool acts as the entry point, letting your Gemini-powered agent identify active workspaces. Once the hub is set, the agent calls `list_repositories` to find where your marketing assets live. This MCP Server handles the connection details so your agent can focus on processing massive content batches. You can restrict which tools are exposed by passing a specific name filter during initialization.

Verify live CDN blocks before publishing

The `get_delivery_content` tool retrieves structural matching data directly from the live delivery CDN. Your agent analyzes this output to ensure your website layout matches the drafted structure. When everything looks correct, the agent executes `publish_content_item` to push the update live. This MCP process cuts down on manual preview steps.

Run structured updates on complex content trees

The `update_content_item` tool modifies existing content structures to align with your active schemas. If an item needs to be organized, `list_folders` helps the agent place it in the correct directory. For new assets, `create_content_item` builds structured records inside specified folders. The agent handles the nested JSON payloads natively, preventing manual formatting mistakes.

Setup guide

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

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Common questions about Amplience MCP in Google ADK

You instantiate a toolset using the streamable HTTP server parameters pointing to your hosted MCP Server. Pass this toolset directly into your agent constructor to expose the CMS tools.

Yes. Because Gemini supports massive token contexts, your agent can pull hundreds of records via `list_content_items` and analyze them all at once.

You can exclude the `delete_content_item` tool from the toolset filter during setup. This ensures the agent never has the ability to trigger a deletion command over MCP.

The `get_content_item` tool fetches the schema revision lock. Your agent checks this lock to ensure the update payload matches the live CMS requirements.

Your schema definitions and content payloads remain inside Google Cloud's secure perimeter and the ephemeral V8 sandbox. No data is stored or used for training external models by this MCP integration.

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