Can I create, update, and delete content items in any collection?

Yes! Use `create_item` with a collection name and JSON payload to add new items. Use `update_item` with the collection, item ID, and updated fields to modify existing items. Use `delete_item` to remove items. All operations respect the permissions assigned to your Static Token's user role.

How does Directus authentication work with a Static Token?

Directus uses a non-expiring Static Token associated with a specific user account. Generate it from your **User Profile** in the Data Studio. The token is sent as a `Bearer` token in the Authorization header. Its permissions match the role assigned to that user — use an admin role for full access or a restricted role for read-only operations.

Can I audit what changes have been made to my database?

Yes. The `list_activity` tool retrieves the audit log of recent database operations, showing who made changes, which collections were affected, timestamps, and the type of operation (create, update, delete). Combine with `list_users` and `list_roles` for full accountability tracking.

INSTANT PLUG AND PLAY

Directus MCP Server for Google ADKGive Google ADK instant access to 16 tools to Check Directus Status, Create Item, Delete Item, and more

Name: Directus
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 16 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Google ADK

Open in ChatGPT Open in Claude Open in Perplexity

The Directus app connector for Google ADK is a standout in the Loved By Devs category — giving your AI agent 16 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="directus_alternative_agent",
    instruction=(
        "You help users interact with Directus "
        "using 16 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 Directus MCP Server

Connect your Directus instance to any AI agent and manage your content database through natural conversation.

Google ADK natively supports Directus as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 16 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

Collection Management — List all data collections with field counts and inspect individual collection schemas
Content CRUD — Create, read, update, and delete items in any collection using JSON payloads
Search & Query — Search items within collections by keyword to find specific content quickly
Schema Inspection — List all fields and their data types for any collection to understand your data model
File Management — Browse uploaded files and retrieve metadata for specific assets
User & Role Management — List all users with roles and status, view role configurations, and check your own profile
Audit Trail — Access the activity log of recent database operations for compliance and debugging

The Directus MCP Server exposes 16 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.

All 16 Directus tools available for Google ADK

When Google ADK connects to Directus through Vinkius, your AI agent gets direct access to every tool listed below — spanning sql-database, graphql, rest-api, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_directus_status

Verify connectivity

create_item

Create an item

delete_item

Delete an item

get_collection

Get collection details

get_file

Get file details

get_item

Get item details

get_me

Get current user

list_activity

List recent activity

list_collections

List collections

list_fields

List fields

list_files

List files

list_items

List items

list_roles

List roles

list_users

List users

search_items

Search items

update_item

Update an item

Connect Directus to Google ADK via MCP

Follow these steps to wire Directus into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 16 tools from Directus via MCP

Why Use Google ADK with the Directus MCP Server

Google ADK provides unique advantages when paired with Directus 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 Directus

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 Directus tools with BigQuery, Vertex AI, and Cloud Functions

Directus + Google ADK Use Cases

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

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

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

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

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

Example Prompts for Directus in Google ADK

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

"Show me all collections in my Directus instance and the fields for the 'articles' collection."

"Create a new article titled 'AI in Healthcare 2025' with status 'draft' and search for existing articles about AI."

"Show me the recent activity log and list all users with their roles."

Troubleshooting Directus MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Directus + Google ADK FAQ

Common questions about integrating Directus 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.