Frontify MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Frontify as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="frontify_agent",
tools=tools,
system_message=(
"You help users with Frontify. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Frontify tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Frontify MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Frontify automatically
Why Use AutoGen with the Frontify MCP Server
AutoGen provides unique advantages when paired with Frontify through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Frontify tools to solve complex tasks
Role-based architecture lets you assign Frontify tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Frontify tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Frontify tool responses in an isolated environment
Frontify + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Frontify MCP Server delivers measurable value.
Collaborative analysis: one agent queries Frontify while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Frontify, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Frontify data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Frontify responses in a sandboxed execution environment
Frontify MCP Tools for AutoGen (10)
These 10 tools become available when you connect Frontify to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Frontify to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Frontify + AutoGen FAQ
Common questions about integrating Frontify MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
