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 OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Frontify
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Frontify through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Frontify Assistant",
            instructions=(
                "You help users interact with Frontify. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Frontify"
        )
        print(result.final_output)

asyncio.run(main())

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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.

The OpenAI Agents SDK auto-discovers all 10 tools from Frontify through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Frontify, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Frontify MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Frontify

Why Use OpenAI Agents SDK with the Frontify MCP Server

OpenAI Agents SDK provides unique advantages when paired with Frontify through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Frontify + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Frontify MCP Server delivers measurable value.

Automated workflows: build agents that query Frontify, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Frontify, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Frontify tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Frontify to resolve tickets, look up records, and update statuses without human intervention

Frontify MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Frontify to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Frontify to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Frontify + OpenAI Agents SDK FAQ

Common questions about integrating Frontify MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.