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 Pydantic AI 10 tools — connect in under 2 minutes

Name: MasterGo
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect MasterGo through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to MasterGo "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in MasterGo?"
    )
    print(result.data)

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.

Pydantic AI validates every MasterGo tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic 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 MasterGo to Pydantic AI via MCP

Follow these steps to integrate the MasterGo MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from MasterGo with type-safe schemas

Why Use Pydantic AI with the MasterGo MCP Server

Pydantic AI provides unique advantages when paired with MasterGo through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your MasterGo integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your MasterGo connection logic from agent behavior for testable, maintainable code

MasterGo + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the MasterGo MCP Server delivers measurable value.

Type-safe data pipelines: query MasterGo with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple MasterGo tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query MasterGo and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock MasterGo responses and write comprehensive agent tests

MasterGo MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect MasterGo to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting MasterGo to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

MasterGo + Pydantic AI FAQ

Common questions about integrating MasterGo MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your MasterGo MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.