Can my agent search for brand assets across multiple projects in Frontify?

Yes. You can use the 'list_workspace_projects' tool to see all project IDs, and then use 'get_project_assets' or a custom 'execute_graphql_payload' to search across your entire workspace or specific brands synchronously.

How do I update the title of a digital asset via chat?

Use the 'patch_asset_metadata' tool. Provide the 'asset_id' and the new 'title'. The agent will trigger a GraphQL mutation to substitute the attribute securely, updating the label in your Frontify DAM immediately.

Can I invite a new team member to a project through the agent?

Absolutely. Use the 'invite_workspace_user' mutation. Provide the email address and the target Project ID. Your agent will command the backend to map the new user limit directly into the designated workspace flawlessly.

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

Name: Frontify
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 Frontify 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="frontify_agent",
    instruction=(
        "You help users interact with Frontify "
        "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 Frontify MCP Server

Connect your Frontify account to any AI agent and take full control of your digital asset management (DAM), brand guidelines, and collaborative workspaces through natural conversation.

Google ADK natively supports Frontify 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

Workspace Project Orchestration — Enumerate explicitly registered project schemas and gather required IDs to browse and discover collaborative workspaces natively
Asset Lifecycle Management — Retrieve detailed metadata for project assets and perform structural extraction of properties driving active media limits flawslessly
Brand Guideline Discovery — Identify precise active arrays spanning rented documentation trees, identifying where strict UI/UX constraints and brand rules are registered
Metadata Mutation — Update global asset boundaries by substituting attributes like titles and descriptions securely through GraphQL mutation logic
Media Content Oversight — Analyze specific global boundaries iterating through brands to discover exact tenant separations inside a single account
Identity & User Management — Retrieve the exact structural matching verifying identity schemas and invite new users directly into designated project workspaces securely
Digital Asset Purging — Irreversibly vaporize explicit app nodes to remove media assets and separating limits pulling items offline flawlessly
Custom GraphQL Execution — Identify bounded routing spaces inside the headless Frontify DAM utilizing native GraphQL strings for advanced structural queries

The Frontify 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 Frontify to Google ADK via MCP

Follow these steps to integrate the Frontify 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 Frontify via MCP

Why Use Google ADK with the Frontify MCP Server

Google ADK provides unique advantages when paired with Frontify 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 Frontify

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 Frontify tools with BigQuery, Vertex AI, and Cloud Functions

Frontify + Google ADK Use Cases

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

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

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

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

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

Frontify MCP Tools for Google ADK (10)

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

execute_graphql_payload

Identify bounded routing spaces inside the Headless Frontify DAM utilizing native GraphQL strings

get_account_limits

Inspect deep internal arrays mitigating specific Picture constraints

get_project_assets

Retrieve explicit Cloud logging tracing explicit Asset Limits

invite_workspace_user

Dispatch an automated validation check routing explicit Workspace roles

list_brand_guidelines

Identify precise active arrays spanning rented Documentation trees

list_native_brands

Perform structural extraction of properties driving active Global namespaces

list_platform_users

Retrieve the exact structural matching verifying Identity schemas

list_workspace_projects

Enumerate explicitly attached structured rules exporting active Workspaces

patch_asset_metadata

Mutate global Web CRM boundaries substituting Attributes safely

wipe_media_asset

Irreversibly vaporize explicit App nodes dropping live Database bytes

Example Prompts for Frontify in Google ADK

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

"List all projects in my Frontify workspace"

"Show me the brand guidelines for 'Acme Corp'"

"Invite 'designer@example.com' to project 'abc-123'"

Troubleshooting Frontify MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Frontify + Google ADK FAQ

Common questions about integrating Frontify 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.