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How to Use the Illumidesk MCP in Google ADK

Connect Google ADK to Illumidesk. Build agents that act on campus data stored in your LMS.

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Google ADK

Connect Illumidesk MCP to Google ADK

Create your Vinkius account to connect Illumidesk 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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Sync campus data with Google ADK

Your agent calls `list_campuses` and `get_campus` to map your institutional structure. It updates your local state based on actual LMS records. This creates a bridge between your cloud infrastructure and your course data. You spend less time syncing and more time processing.

Analyze course details using Google ADK

Run `get_course` to pull curriculum metadata into your reasoning engine. Your agent processes this content to suggest optimizations for instructors. It works directly within your existing Google Cloud environment. You rely on the agent to structure the output for your downstream tasks.

Audit user memberships with Google ADK

Call `list_memberships` to verify student access levels across your campus. Your agent flags discrepancies between your database and the live LMS records. This ensures your access control lists stay current. You avoid the manual overhead of cross-referencing user lists.

Setup guide

Set up Illumidesk 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Illumidesk 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="Illumidesk_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Illumidesk tools via MCP.",
    tools=mcp_tools,
)

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

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Real-time monitoring

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

Built-in savings

60%

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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 Illumidesk MCP in Google ADK

The ADK treats the server as a native toolset. You pass the server parameters to your agent, and it discovers the available functions automatically.
Yes. Use the tool_names filter to expose only the specific functions your agent needs. This limits the scope of what the agent can do.
Yes. Use `get_activity_logs` to pull event data directly into your agent's context. You can then pipe that data into BigQuery for long-term storage.
It does. You can feed large course lists or membership logs into the agent's context window for complex reasoning tasks.
The server transmits only the data requested through defined tool calls. It handles user IDs and course enrollments, so restrict agent access to only necessary scopes.

Start using the Illumidesk MCP today

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