How to Use the Frontify MCP in Mastra AI

Q: Can Mastra AI automate my Frontify brand guidelines?

Yes. By using listbrandguidelines, your agents can scan for outdated documentation. You can then trigger follow-up tasks if the guidelines don't match your current standards.

Q: How do I add manual approval to Frontify tasks in Mastra AI?

Use the built-in requireToolApproval setting in your client configuration. This forces the agent to pause before executing critical actions like wipemediaasset.

Q: Will Mastra AI handle my Frontify workspace user invites?

It will. You include inviteworkspaceuser in your agent's toolset to automate onboarding. The agent can trigger this after verifying user credentials against your platform list.

Q: How does Mastra AI track Frontify account limits?

Your agents call getaccountlimits before starting a large batch process. If you are near your limit, the agent can pause the task or alert you.

Build resilient Frontify workflows in Mastra AI with automatic retries and conditional logic.

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Connect Frontify MCP to Mastra AI

Create your Vinkius account to connect Frontify to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Frontify with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Conditional brand asset pipelines

Create complex workflows that handle `patch_asset_metadata` failures with automatic retries. You define the logic in Mastra AI to ensure your brand assets stay updated even if network requests drop. Branching your processes becomes trivial. If an asset update fails, your agent can log the error and notify a manager using the user management tools.

Automated Frontify workspace cleanup

Deploy agents that monitor your portals using `list_workspace_projects` and `wipe_media_asset`. You set the rules for when to remove outdated files to keep your workspace clean. Your agents handle the heavy lifting. They identify redundant files and act on them only after meeting the conditions you set in your workflow engine.

GraphQL-powered Frontify validation

Query your brand portal logic with `execute_graphql_payload` to verify compliance. Mastra AI agents use these results to make decisions about which assets to promote or archive. Take the guesswork out of compliance. Your agents check the current state against your rules and trigger actions only when necessary.

Setup guide

Set up Frontify MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Frontify tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "frontify-mcp-client",
  servers: {
    "frontify-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Frontify Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Frontify tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Frontify transactions"
);
console.log(result.text);

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

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Common questions about Frontify MCP in Mastra AI

Yes. By using `list_brand_guidelines`, your agents can scan for outdated documentation. You can then trigger follow-up tasks if the guidelines don't match your current standards.

Use the built-in `requireToolApproval` setting in your client configuration. This forces the agent to pause before executing critical actions like `wipe_media_asset`.

It will. You include `invite_workspace_user` in your agent's toolset to automate onboarding. The agent can trigger this after verifying user credentials against your platform list.

Your agents call `get_account_limits` before starting a large batch process. If you are near your limit, the agent can pause the task or alert you.

Vinkius uses zero-trust architecture for this server. Your metadata and asset IDs never persist outside the ephemeral execution environment of your agent.

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