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How to Use the ContentStack (Management) MCP in Google ADK

Connect ContentStack (Management) to your Google ADK infrastructure.

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Google ADK

Connect ContentStack (Management) MCP to Google ADK

Create your Vinkius account to connect ContentStack (Management) 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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Google ADK ContentStack integration

Use `list_entries` to pull specific records into your agent's context window. Your agent parses these entries to generate summaries or updates based on the current CMS state. `get_entry_details` fetches the raw data for precise editing. It gives your agent the granular view needed to modify specific fields without overwriting adjacent data.

Asset management for agents

The `list_assets` tool allows your agent to scan your media library. It finds the correct image or file reference to attach to your content entries. Your agent uses these references to build complete content objects. It automates the link between your file storage and your text-based entries.

Stack oversight for Google ADK

Run `get_stack_info` to grab current configuration details. Your agent uses this to confirm it is operating on the correct stack before performing any write operations. This adds a layer of confirmation to your agent's actions. It prevents accidental modifications to the wrong environment or content model.

Setup guide

Set up ContentStack (Management) 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. 1

    Install Google ADK

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

  2. 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. 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. 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 ContentStack (Management) 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="ContentStack (Management)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ContentStack (Management) tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ContentStack. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about ContentStack (Management) MCP in Google ADK

Use the McpToolset class within your agent setup. Point it to your Vinkius HTTP endpoint to start pulling in the available tools. It integrates with your existing tool list automatically.
Absolutely, the agent uses the provided tools to query your content types and entries. It pulls live data directly into the Gemini context window. You can reason over your site content in real-time.
The server provides data that fits into the massive context window of Gemini. You can fetch dozens of entries and summarize them all at once. It turns your CMS into a searchable database for the agent.
The HTTP transport provides a persistent link for the duration of the agent session. You can define tool filters to ensure the agent only sees what it needs. This keeps the toolset clean and responsive.
Data flows over encrypted channels between the Vinkius sandbox and your Google environment. No raw credentials are stored in your agent's persistent memory. It uses scoped access tokens for every request.

Start using the ContentStack (Management) MCP today

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We've already built the connector for ContentStack (Management). Just plug in your AI agents and start using Vinkius.

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