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How to Use the Knorish MCP in Google ADK

Feed Knorish academy metrics directly into Gemini models using Google ADK to analyze student progress at scale.

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Google ADK

Connect Knorish MCP to Google ADK

Create your Vinkius account to connect Knorish 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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Analyze learning metrics with Google ADK

This MCP Server connects `get_student_progress` and `list_users` to your Gemini-powered enterprise agents. You can query completion rates across thousands of accounts and let the agent parse the raw JSON payloads inside Gemini's massive context window. Because the SDK integrates with Google Cloud, you can feed these progress metrics directly into BigQuery. Your agent runs SQL queries on your enrollment patterns to predict which cohorts are most likely to drop out.

Programmatic school management via Gemini tools

This MCP Server exposes `get_account_info` alongside `list_courses` to give your enterprise agent a complete view of your school's structure. The agent checks active courses, reviews bundle packages, and reports administrative health directly to your internal dashboard. You configure the toolset using your Vinkius HTTP transport URL to expose these tools to your Gemini agent. The agent executes admin tasks without requiring custom API wrappers or manual dashboard logins.

Real-time event handling with Google ADK

This MCP Server uses `create_webhook` and `list_webhooks` to wire up your school's events with Google Cloud Run or Pub/Sub. When a student registers, the webhook triggers cloud functions that automate downstream enterprise tasks. If you need to restrict what the agent can modify, pass a tool names filter to the toolset constructor. This limits the agent to read-only operations like getting course details while locking down enrollment mutations.

Setup guide

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

Use the toolset class with streamable HTTP server parameters pointing to your Vinkius server URL. Pass this toolset to your agent to instantly expose the academy management tools.
Yes, Gemini's long-context window easily processes the full payload from the course and bundle listing tools. The agent can map out entire curriculum paths for corporate training clients in one prompt.
Pass a list of allowed tools to the tool names parameter when initializing your toolset. Exclude write operations like unenrollment or user creation to prevent unauthorized updates.
Yes, the MCP integration supports both Stdio and HTTP transports. You can run local CLI tests on your workstation before deploying the agent to Google Cloud.
Vinkius stores your academy credentials in a zero-trust, ephemeral vault. The Google ADK agent only interacts with a single secure proxy token, preventing raw API key exposure across your Google Cloud environment.

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