Can my agent execute custom GraphQL queries against DatoCMS?

Yes. Use the 'execute_graphql_cda' tool. You can provide any valid GraphQL query string to fetch data from the Content Delivery API (CDA) tree, bypassing rigid limits and retrieving exactly what your agent needs.

How do I create a new content item using the agent?

Use the 'create_cms_record' tool. Provide the Item Type ID and a JSON object containing the attributes. The agent will orchestrate the absolute explicit bindings to generate a new record in your DatoCMS project.

Can I inspect the available content models through chat?

Absolutely. The 'list_global_models' tool enumerates all registered item types and models. This allows your agent to identify precisely what schemas bind to your editor blocks and which fields are available for data mutations.

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

Name: DatoCMS
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 DatoCMS 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="datocms_agent",
    instruction=(
        "You help users interact with DatoCMS "
        "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 DatoCMS MCP Server

Connect your DatoCMS project to any AI agent and take full control of your headless CMS and digital experience platform through natural conversation.

Google ADK natively supports DatoCMS 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

GraphQL Discovery — Identify bounded routing spaces inside the DatoCMS GraphQL tree and extract delivery arrays targeting specific schemas
Record Orchestration — List, retrieve, and create CMS records natively, enforcing JSON:API specifications and item_type validation rules
Content Mutation — Safely update existing records by patching attribute blocks or irreversibly vaporize document nodes to clear internal database limits
Media Oversight — Inspect deep internal arrays of uploaded assets, track Imgix proxy mappings, and verify physical storage identifiers securely
Schema Auditing — Enumerate explicitly registered models and item types defining the structure of your content blocks and editor environments
CDA/CMA Integration — Seamlessly switch between Content Delivery (CDA) for high-performance reading and Content Management (CMA) for structural edits

The DatoCMS 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 DatoCMS to Google ADK via MCP

Follow these steps to integrate the DatoCMS 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 DatoCMS via MCP

Why Use Google ADK with the DatoCMS MCP Server

Google ADK provides unique advantages when paired with DatoCMS 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 DatoCMS

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 DatoCMS tools with BigQuery, Vertex AI, and Cloud Functions

DatoCMS + Google ADK Use Cases

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

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

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

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

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

DatoCMS MCP Tools for Google ADK (10)

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

create_cms_record

Provision a highly-available JSON Payload generating new content Items

execute_graphql_cda

Identify bounded routing spaces inside the Headless DatoCMS GraphQL tree

get_media_upload

Retrieve the exact structural matching verifying File blocks

get_single_record

Perform structural extraction of properties driving active Node details

list_cma_records

Retrieve explicit Cloud logging tracing explicit JSON:API arrays

list_global_models

Enumerate explicitly attached structured rules exporting Item Types

list_media_uploads

Inspect deep internal arrays mitigating specific Image storage

patch_cms_record

Mutate global Web CRM boundaries substituting Item parameters safely

wipe_cms_record

Irreversibly vaporize explicit App nodes dropping live Document rows

wipe_media_upload

Dispatch an automated validation check routing explicit Disk removals

Example Prompts for DatoCMS in Google ADK

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

"List all content models in DatoCMS"

"Execute this GraphQL query: '{ allPosts { title } }'"

"List the last 5 media uploads"

Troubleshooting DatoCMS MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

DatoCMS + Google ADK FAQ

Common questions about integrating DatoCMS 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.