How do I obtain a MasterGo API Token?

Log in to MasterGo, go to the [Developer Center](https://mastergo.com/developers), and create a new application or generate a personal access token under your account settings.

Can I read specific layer information through this server?

Yes. Use the `list_nodes` tool with the file key and optional node IDs. This allows your agent to retrieve detailed data about frames, layers, and their properties.

What is a 'fileKey' in MasterGo?

The `fileKey` is the unique identifier found in the URL of your MasterGo design file. It typically appears after `/file/` in the browser address bar.

MasterGo MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: MasterGo
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 MasterGo 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="MasterGo Assistant",
            instructions=(
                "You help users interact with MasterGo. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from MasterGo"
        )
        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 MasterGo MCP Server

Empower your AI agent to orchestrate your design workflow with MasterGo, the leading professional design tool for high-performance team collaboration. By connecting MasterGo to your agent, you transform complex design file navigation and project coordination into a natural conversation. Your agent can instantly list your files, retrieve design nodes (frames and layers), audit style libraries, and even browse version history without you ever needing to navigate the complex design workspace. Whether you are managing a large-scale design system or a specific UI project, your agent acts as a real-time design assistant, keeping your assets organized and your team aligned.

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

What you can do

File Orchestration — List all accessible design files and projects across your MasterGo workspace.
Node Management — Retrieve granular design nodes and layers to understand your UI structure instantly.
Collaboration Monitoring — Browse file comments and organization members to stay informed about team updates.
Style Auditing — List defined design styles, including colors and typography, across your files.
Version Control — Check the version history of design files to track changes and milestones.

The MasterGo 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 MasterGo to OpenAI Agents SDK via MCP

Follow these steps to integrate the MasterGo 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 MasterGo

Why Use OpenAI Agents SDK with the MasterGo MCP Server

OpenAI Agents SDK provides unique advantages when paired with MasterGo 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

MasterGo + OpenAI Agents SDK Use Cases

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

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

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

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

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

MasterGo MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect MasterGo to OpenAI Agents SDK via MCP:

get_comments

Get file comments

get_file

Get design file details

get_file_versions

Get file version history

get_org_members

List organization members

get_project_files

Get project files

list_files

List all MasterGo files

list_nodes

List nodes in a file

list_projects

List team projects

list_styles

List file styles

list_teams

List available teams

Example Prompts for MasterGo in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with MasterGo immediately.

"List all design files in my MasterGo workspace."

"Show me the comments for file 'design-8821'."

"Retrieve the style library for file 'core-ui-library'."

Troubleshooting MasterGo MCP Server with OpenAI Agents SDK

Common issues when connecting MasterGo 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.

MasterGo + OpenAI Agents SDK FAQ

Common questions about integrating MasterGo 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.