How to Use the MasterGo MCP in Google ADK

Q: How does Google ADK connect to MasterGo?

You use the McpToolset and provide your Vinkius server URL in the StreamableHttpServerParameters. Then you add that toolset to your LlmAgent. Google ADK handles the tool discovery from there.

Q: Can I use Google ADK to query MasterGo nodes like a database?

Yes, that's a core use case. Your agent uses listnodes to get the raw data from MasterGo. You can then have the agent process that data or send it to BigQuery for complex SQL queries.

Q: What's the best practice for listing all MasterGo projects with Google ADK?

The listprojects tool is the direct way to do this. Your agent can call it to get a list of all projects your token can access. From there, it can use getprojectfiles to drill down into each one.

Connect Google's Gemini agents to your MasterGo design data. Analyze design systems at scale with Google ADK and BigQuery.

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Connect MasterGo MCP to Google ADK

Create your Vinkius account to connect MasterGo to Google ADK 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 MasterGo with Google ADK

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Analyze Design Systems at Scale

Hook your Google ADK agent into MasterGo to treat your design files like a database. The agent can pull data from `list_projects` and `get_project_files`, then pipe it straight into BigQuery. Now your design assets are queryable right alongside your business metrics. With Gemini's long context window, you can feed an entire design system's worth of data into the agent. It can use `list_nodes` and `list_styles` across hundreds of files to find inconsistencies or track component adoption over time. This is how you run enterprise-grade design ops.

Build Long-Term Design Intelligence

Go beyond simple file exports. Use your Google ADK agent to build a historical record of your design process. It can periodically call `get_file_versions` to log every change, and `get_comments` to track feedback trends. Store this data in Google Cloud Storage or BigQuery. Over time, you can train custom models on it with Vertex AI. You're not just looking at a snapshot; you're building a dataset to understand how your design team works.

Connect Design to Enterprise Workflows with Google ADK

This MCP server makes MasterGo another data source for your Google Cloud ecosystem. Your agent can fetch user lists with `get_org_members` and `list_teams` and cross-reference them with your company's IAM roles. The goal is to automate reporting and governance. Set up a Cloud Function that triggers your agent to run a weekly audit. It checks for stale files with `list_files`, flags projects with no recent activity, and gives you a single report. It just works.

Setup guide

Set up MasterGo MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with MasterGo tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="MasterGo_agent",
    model="gemini-2.0-flash",
    instruction="You have access to MasterGo tools via MCP.",
    tools=mcp_tools,
)

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Common questions about MasterGo MCP in Google ADK

You use the `McpToolset` and provide your Vinkius server URL in the `StreamableHttpServerParameters`. Then you add that toolset to your `LlmAgent`. Google ADK handles the tool discovery from there.

Yes, that's a core use case. Your agent uses `list_nodes` to get the raw data from MasterGo. You can then have the agent process that data or send it to BigQuery for complex SQL queries.

The `list_projects` tool is the direct way to do this. Your agent can call it to get a list of all projects your token can access. From there, it can use `get_project_files` to drill down into each one.

No. The connection is read-only to prevent accidental changes to your design files. Your agent can read anything with tools like `get_file` but can't write back.

Your data is only touched when your agent makes a request. The server handles requests for design file structures, comments, and user lists, but doesn't store them. All traffic is encrypted, and access is controlled by your single Vinkius API token.

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