How to Use the Cloud Assess MCP in Google ADK

Q: How do I configure Cloud Assess with the Google ADK?

Initialize the McpToolset with the HTTP transport URL provided by Vinkius. Pass this MCP toolset directly to your LlmAgent to give your Gemini models instant access to your training data.

Q: Can I use this setup to build dashboards in Looker Studio?

Yes, you can write an agent that pulls data using listassessmentrecords and writes it to BigQuery. From there, your standard Google Cloud tools can build live dashboards.

Connect Cloud Assess to your Google ADK pipelines via our secure MCP Server to analyze student progress with Gemini models.

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Connect Cloud Assess MCP to Google ADK

Create your Vinkius account to connect Cloud Assess 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 Cloud Assess with Google ADK

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Analyze massive student records with Gemini

Combine `get_student_details` and `list_assessment_records` with Gemini's million-token context window. Your agent parses years of student submissions and assessor feedback in a single run, finding deep patterns in student performance. This setup lets you run complex evaluations across thousands of active records. Google ADK feeds this raw vocational data directly into your LLM without hitting context limits.

Sync training locations with BigQuery via Google ADK

Export physical and logical site data using `list_training_locations` and `list_training_enrolments`. Your agent cross-references these locations with your enterprise data warehouse in BigQuery to optimize regional training budgets. The Google ADK toolset handles the heavy lifting, allowing your agent to query Cloud Assess and update your Google Cloud databases in a single automated workflow.

Automate assessor workload reviews

Pull up-to-date staff lists using `list_training_assessors` and `list_assessment_forms`. Your Google ADK agent monitors assessor output and flags potential compliance issues before they hit your internal audits. Because the MCP Server handles the connection, your enterprise agents run securely inside your existing Google Cloud IAM boundaries without exposing raw API keys.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cloud Assess. 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.

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Common questions about Cloud Assess MCP in Google ADK

Initialize the `McpToolset` with the HTTP transport URL provided by Vinkius. Pass this MCP toolset directly to your `LlmAgent` to give your Gemini models instant access to your training data.

No, this managed MCP Server runs over secure HTTP. You must use the `StreamableHttpServerParameters` class in Google ADK to establish a stable connection to our hosted endpoints.

Yes, you can pass a list of allowed tool names to your toolset configuration. This restricts your Gemini agent to specific actions, like only calling `list_unit_enrolment_progress` for progress tracking.

Yes, you can write an agent that pulls data using `list_assessment_records` and writes it to BigQuery. From there, your standard Google Cloud tools can build live dashboards.

Your assessment forms and student details are processed in memory within our ephemeral V8 sandbox. No persistent storage is used, and the connection between Google Cloud and Vinkius is fully encrypted.

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