How to Use the Mingdao Cloud MCP in Google ADK

Q: How do I configure Google ADK with Mingdao Cloud?

Use the McpToolset class to point to your Vinkius HTTP endpoint. Pass this toolset directly to your LlmAgent so Gemini can call tools like getappinfo natively via the MCP standard.

Q: Can I restrict which Mingdao Cloud tools Google ADK can access?

Yes. Use the ADK's toolnames filter to limit exposure. You can block tools like deleterow while keeping read-only tools like listrows active.

Q: Does Google ADK support real-time worksheet updates in Mingdao Cloud?

It does. The agent executes updaterow or addrow instantly over the secure HTTP transport as soon as it processes your Google Cloud events.

Q: How does Gemini handle large datasets from this MCP Server?

Gemini's million-token context easily holds the output of listrows. The agent retrieves the full dataset, analyzes it, and updates specific records without running out of memory.

Connect your Google ADK enterprise agents directly to Mingdao Cloud worksheets to act on live business data.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Mingdao Cloud MCP to Google ADK

Create your Vinkius account to connect Mingdao Cloud 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.

GDPR Free for Subscribers

Setup Mingdao Cloud with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run Gemini reasoning over Mingdao Cloud worksheets

Gemini's massive context window is useless without live data. This MCP Server exposes tools like `list_rows` and `get_row_details` so your Google ADK agent can ingest entire tables for analysis. You can prompt your agent to find patterns in your records. It will query `list_worksheets` to find the right table and pull the exact rows it needs.

Sync Google Cloud data to worksheets with Google ADK

Move data from BigQuery directly into your operational apps. Your agent acts as the bridge using this MCP Server, checking `get_worksheet_schema` first to ensure the data types match perfectly. This removes the need for brittle ETL pipelines. The agent reads your cloud database and uses `add_row` to create new records or `update_row` to modify existing ones in Mingdao Cloud.

Orchestrate background processes and workflows

Don't let your agent operate in a silo. It can scan active automations with `list_workflows` and assign tasks to specific team members using `list_users`. If a process fails or a record becomes obsolete, the agent can clean up the workspace by invoking `delete_row`. You control which tools are exposed using the ADK's native tool filters.

Setup guide

Set up Mingdao Cloud 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 Mingdao Cloud 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="Mingdao Cloud_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Mingdao Cloud tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mingdao Cloud. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Mingdao Cloud now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Mingdao Cloud MCP in Google ADK

Use the `McpToolset` class to point to your Vinkius HTTP endpoint. Pass this toolset directly to your `LlmAgent` so Gemini can call tools like `get_app_info` natively via the MCP standard.

Yes. Use the ADK's `tool_names` filter to limit exposure. You can block tools like `delete_row` while keeping read-only tools like `list_rows` active.

It does. The agent executes `update_row` or `add_row` instantly over the secure HTTP transport as soon as it processes your Google Cloud events.

Gemini's million-token context easily holds the output of `list_rows`. The agent retrieves the full dataset, analyzes it, and updates specific records without running out of memory.

Your Mingdao Cloud worksheet rows and user directories are processed in-memory within an isolated V8 sandbox. Vinkius ensures no data is stored or logged outside your active session.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript