How to Use the Classe365 MCP in Google ADK

Q: How do I restrict which Classe365 tools the Google ADK agent can use?

Pass an optional toolnames filter when initializing the toolset. This prevents the model from attempting unauthorized actions.

Give your Google ADK agents direct access to the Classe365 MCP Server. Query student records and attendance using Gemini's massive context window.

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Connect Classe365 MCP to Google ADK

Create your Vinkius account to connect Classe365 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 Classe365 with Google ADK

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Analyze student data with Google ADK

Enterprise agents running on Google Cloud need real-world data to make decisions. Linking this MCP Server connects your educational infrastructure straight to the Gemini ecosystem. Your agent uses `list_students` and `get_student_details` to ingest entire class rosters. Gemini's massive context window holds all those records at once, letting you run complex queries across your entire student body.

Cross-reference attendance with BigQuery

Schools track massive amounts of daily participation data. Moving that information into your analytics pipeline usually requires brittle ETL scripts. Your Google ADK agent uses this MCP to call `list_student_attendance` and `list_school_classes` for raw records. It then joins that information with existing BigQuery datasets to spot chronic absenteeism before it becomes a major problem.

Build accurate academic reports

Drafting progress reports takes teachers hours of manual data entry. An autonomous agent handles this instantly by pulling the exact metrics it needs. The model executes `list_academic_records` and `list_exam_assessments` to gather department configurations and test scores. It formats the raw data into readable summaries, saving your faculty serious time.

Setup guide

Set up Classe365 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 Classe365 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="Classe365_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Classe365 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 Classe365. 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 Classe365 MCP in Google ADK

Create an McpToolset using your Vinkius URL and pass it to your LlmAgent tools list. The framework handles the HTTP transport automatically.

Yes, they can. The framework allows your Gemini models to execute write operations directly to your admissions database.

It works natively with your existing Google Cloud infrastructure. You can deploy agents that interact with your school data securely from your own VPC.

Pass an optional tool_names filter when initializing the toolset. This prevents the model from attempting unauthorized actions.

Your assessment data routes through a zero-trust architecture. Vinkius manages authentication at the edge, meaning raw credentials never touch your application logs.

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