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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Knorish MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Knorish tools in your ADK agent.
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 it with your favorite AI tools
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