Can I update the actual text of an item using my agent?

Yes. Use the `upsert_language_variant` tool. While `upsert_item` creates the container, the variant tool allows you to populate the specific content fields (`elements`) for a given language, placing the item into Draft status.

How do I make my draft content live on the website?

The `publish_variant` tool transitions a specific language variant from Draft to Published. This makes the content immediately accessible to your frontend applications via the public Delivery APIs.

Can my agent help me understand which fields are in a content model?

Absolutely. Use the `get_content_type` tool by providing the type codename. Your agent will perform a schema introspection and list all available elements, allowing you to understand the exact structure you need to populate.

Kontent.ai (Enterprise Headless CMS) MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Kontent.ai (Enterprise Headless CMS)
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Kontent.ai (Enterprise Headless CMS) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="kontentai_enterprise_headless_cms_agent",
    instruction=(
        "You help users interact with Kontent.ai (Enterprise Headless CMS) "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Kontent.ai (Enterprise Headless CMS) MCP Server

Connect your Kontent.ai project to any AI agent and take full control of your enterprise-grade headless CMS and content orchestration through natural conversation.

Google ADK natively supports Kontent.ai (Enterprise Headless CMS) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Item Orchestration — List and retrieve content item containers, and create or update top-level item shells defining types and codenames directly from your agent
Variant Management — Update actual content fields (elements) for specific languages (e.g., English, Portuguese), moving variants into Draft status securely
Publishing Workflow — Transition specific language variants from Draft to Published status to make content immediately live via Delivery APIs
Schema Introspection — Discover and inspect Content Type definitions to understand available fields, scalar parameters, and required element blocks
Taxonomy & Tags — Manage hierarchical taxonomy groups used to classify and filter your content assets for better organizational structure
Media Audit — List uploaded media assets and document files to retrieve precise identifiers and cloud URLs for frontend delivery

The Kontent.ai (Enterprise Headless CMS) MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Kontent.ai (Enterprise Headless CMS) to Google ADK via MCP

Follow these steps to integrate the Kontent.ai (Enterprise Headless CMS) MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Kontent.ai (Enterprise Headless CMS) via MCP

Why Use Google ADK with the Kontent.ai (Enterprise Headless CMS) MCP Server

Google ADK provides unique advantages when paired with Kontent.ai (Enterprise Headless CMS) through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Kontent.ai (Enterprise Headless CMS)

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Kontent.ai (Enterprise Headless CMS) tools with BigQuery, Vertex AI, and Cloud Functions

Kontent.ai (Enterprise Headless CMS) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Kontent.ai (Enterprise Headless CMS) MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Kontent.ai (Enterprise Headless CMS) and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Kontent.ai (Enterprise Headless CMS) tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Kontent.ai (Enterprise Headless CMS) regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Kontent.ai (Enterprise Headless CMS)

Kontent.ai (Enterprise Headless CMS) MCP Tools for Google ADK (10)

These 10 tools become available when you connect Kontent.ai (Enterprise Headless CMS) to Google ADK via MCP:

get_content_type

Retrieve the exact structural fields of a specific Content Type

get_item

Retrieve metadata for a specific Kontent.ai item by codename

get_taxonomy

Get details and nested terms for a specific Taxonomy group

list_assets

List uploaded Media Assets and Document files

list_content_types

List all Content Type schemas registered in the environment

list_items

ai project space. List all content items in the Kontent.ai environment

list_taxonomies

List all hierarchical Taxonomies (tags/categories)

publish_variant

Publish a specific language variant of an item to Delivery APIs

upsert_item

Note: this does not update the language variant fields (the actual content text)—use upsert_language_variant for that. Create or update a top-level content item container

upsert_language_variant

g. `default`). This places the variant into Draft status. Update the actual content fields of an item for a specific language

Example Prompts for Kontent.ai (Enterprise Headless CMS) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Kontent.ai (Enterprise Headless CMS) immediately.

"List all content items in our project"

"Publish the 'default' variant for item 'q4_roadmap'"

"What are the structural fields for the 'Article' content type?"

Troubleshooting Kontent.ai (Enterprise Headless CMS) MCP Server with Google ADK

Common issues when connecting Kontent.ai (Enterprise Headless CMS) to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Kontent.ai (Enterprise Headless CMS) + Google ADK FAQ

Common questions about integrating Kontent.ai (Enterprise Headless CMS) MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.