Can my agent create new entries in Contentstack?

Yes. Use the 'create_cms_entry' tool. Provide the content type UID and a JSON object containing the entry fields. The agent will orchestrate the absolute explicit bindings to generate a new draft in your stack.

How do I publish an entry to multiple environments via chat?

Use the 'publish_to_environment' tool. Provide the content type UID, the entry UID, and a comma-separated list of environments (e.g., 'production,staging'). The agent will trigger the exact sequence to push your data live.

Can I inspect the fields and validation rules of a content type?

Absolutely. The 'get_schema_details' tool retrieves the structural extraction of properties for a specific content type UID, showing you exactly which fields are required and what data the database expects.

Contentstack MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Contentstack
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 Contentstack 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

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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="contentstack_1_agent",
    instruction=(
        "You help users interact with Contentstack "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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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 Contentstack MCP Server

Connect your Contentstack account to any AI agent and take full control of your agentic experience platform and headless CMS through natural conversation.

Google ADK natively supports Contentstack 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

Entry Orchestration — List and retrieve document rows bound to specific content types and create new drafts using purely formatted JSON attributes
Content Mutation — Safely update existing entries by overwriting schema blocks and substituting draft values through the Management API
Live Publishing — Trigger the exact publication sequence to push CMS data to specific environments (e.g., development, production, staging)
Schema Inspection — Enumerate global schemas and decode native boundaries to identify exactly what fields and validation rules the database expects
Media Management — Access global files and retrieve explicit media metadata, including original Contentstack URLs, to mitigate manual CDN scraping
Repository Cleanup — Irreversibly remove app nodes and delete live document rows to manage internal database allocations and clear quotas

The Contentstack 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 Contentstack to Google ADK via MCP

Follow these steps to integrate the Contentstack 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 Contentstack via MCP

Why Use Google ADK with the Contentstack MCP Server

Google ADK provides unique advantages when paired with Contentstack 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 Contentstack

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 Contentstack tools with BigQuery, Vertex AI, and Cloud Functions

Contentstack + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Contentstack MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Contentstack and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Contentstack tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Contentstack regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Contentstack

Contentstack MCP Tools for Google ADK (10)

These 10 tools become available when you connect Contentstack to Google ADK via MCP:

create_cms_entry

Provision a highly-available JSON Payload generating new Contentstack Drafts

get_media_asset

Retrieve the exact structural matching verifying explicit Media IDs

get_schema_details

Perform structural extraction of properties driving active Fields

get_single_entry

Retrieve explicit Cloud logging tracing explicit Entry UUIDs limitlessly

list_global_schemas

Enumerate explicitly attached structured rules exporting active Types

list_media_assets

Inspect deep internal arrays mitigating specific Picture limits

list_type_entries

Identify bounded routing spaces inside the Headless Contentstack CMS schemas

publish_to_environment

g., development, production). Dispatch an automated validation check routing CMS Data Live

update_cms_entry

Mutate global Web CRM boundaries substituting Draft values safely

wipe_cms_entry

Irreversibly vaporize explicit App nodes dropping live Document rows

Example Prompts for Contentstack in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Contentstack immediately.

"List all entries for content type 'homepage'"

"Publish entry 'entry_456' of type 'blog_post' to production"

"Show me the details for content model 'product_schema'"

Troubleshooting Contentstack MCP Server with Google ADK

Common issues when connecting Contentstack to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Contentstack + Google ADK FAQ

Common questions about integrating Contentstack 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.