How to Use the Webiny CMS MCP in Google ADK

Q: How can I list all entries using Webiny CMS and Google ADK?

Use listmodelentries. You supply the plural model name and specify if you want to read live content or manage draft versions. It's pretty straightforward.

Q: What tools are available for executing queries on Webiny CMS using Google ADK?

You have executegraphqlquery for raw access, but also getapiintrospection. This tool retrieves the full GraphQL schema, so your agent always knows what it can ask for.

Q: Can I verify specific entry details using Webiny CMS and Google ADK?

Yes. You use getmodelentrydetails by providing a revision ID. This function retrieves all the associated metadata and field values for that particular content model entry.

Q: What is the difference between publishing and updating content in Webiny CMS using Google ADK?

Updating changes fields on an existing draft, while publishcmsentry takes a specific revision ID and flips the switch to make that content live via the 'read' API.

Build enterprise agents acting on Webiny CMS data with Google ADK's robust Python SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Webiny CMS MCP to Google ADK

Create your Vinkius account to connect Webiny CMS 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.

GDPR Free for Subscribers

Setup Webiny CMS with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Managing Webiny CMS Entries

The `create_cms_entry` tool lets your agent write new content drafts directly into the system. You provide the model name and field data as a JSON object, making it ready for review. Need to modify something? Use `update_cms_entry`. Just give it the entry ID and a JSON payload with the specific fields you want to change.

Full GraphQL Workflow Access

`execute_graphql_query` runs any raw query or mutation against Webiny CMS. You control the scope by specifying `api_type`—whether it's for managing, reading live data, or previewing a result. Furthermore, you can use `get_tenant_config` to pull global settings across your entire Webiny tenant.

Listing and Retrieving Content Models

`list_model_entries` gathers all content for a specific model. You must provide the plural name (like 'Products') and specify if you are checking drafts or live data. If you need to publish, `publish_cms_entry` takes a revision ID and makes that draft available publicly via the read API.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Webiny. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Webiny CMS now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Webiny CMS MCP in Google ADK

Use `list_model_entries`. You supply the plural model name and specify if you want to read live content or manage draft versions. It's pretty straightforward.

You have `execute_graphql_query` for raw access, but also `get_api_introspection`. This tool retrieves the full GraphQL schema, so your agent always knows what it can ask for.

Yes. You use `get_model_entry_details` by providing a revision ID. This function retrieves all the associated metadata and field values for that particular content model entry.

Updating changes fields on an existing draft, while `publish_cms_entry` takes a specific revision ID and flips the switch to make that content live via the 'read' API.

The server manages Content Model Field Data. Its tools give your agent control over creating, updating, listing, and deleting revisions within the content models.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript