Frontify MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Frontify through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"frontify": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Frontify Agent",
instructions:
"You help users interact with Frontify " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Frontify?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Frontify tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Frontify MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Frontify via MCP
Why Use Mastra AI with the Frontify MCP Server
Mastra AI provides unique advantages when paired with Frontify through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Frontify without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Frontify tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Frontify + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Frontify MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Frontify, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Frontify as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Frontify on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Frontify tools alongside other MCP servers
Frontify MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Frontify to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Frontify to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFrontify + Mastra AI FAQ
Common questions about integrating Frontify MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Frontify with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Frontify to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.