How to Use the Moodle MCP in Google ADK
Connect Gemini models to your LMS with Google ADK to analyze grade trends and message students from BigQuery.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Moodle MCP to Google ADK
Create your Vinkius account to connect Moodle 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.
LMS data ingestion for Google ADK
Your Gemini agent uses `get_courses` to pull the active course catalog directly into your Google Cloud environment. It maps these course IDs against your BigQuery tables to find discrepancies in enrollment data. By feeding this data into Google ADK pipelines, you let the LLM use its 1M-token context window to analyze syllabus trends. It processes weeks of coursework in a single reasoning loop using our MCP Server.
Automated student outreach via this MCP Server
This MCP Server allows your Gemini agent to execute `send_message` when certain performance thresholds are breached. The agent evaluates student engagement by checking `get_course_completion` records. This setup removes the need for manual email campaigns. Your Google ADK agent drafts and sends targeted notifications based on real-time LMS activity.
Granular assessment tracking
The agent calls `get_course_quizzes` and `get_course_workshops` to extract specific assignment metadata. It monitors submission timelines to identify which exams or workshops have the lowest completion rates. This gives your cloud-hosted agent the exact context it needs to generate study guides. The agent matches the quiz topics with student rosters fetched via `get_enrolled_users`.
Set up Moodle 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 Moodle 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="Moodle_agent",
model="gemini-2.0-flash",
instruction="You have access to Moodle 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 Moodle. 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 Moodle MCP in Google ADK
Use it with your favorite AI tools
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