How to Use the Moodle MCP in Google ADK

Q: How do I configure the Moodle MCP Server inside Google ADK?

Import McpToolset and pass your Vinkius HTTP endpoint into StreamableHttpServerParameters. Then, add the toolset directly to your LlmAgent to let Gemini models interact with your LMS.

Q: How is my Moodle grading data protected when using Google ADK?

Grade records retrieved via getusergrades are processed in memory within your private VPC. The MCP Server acts as a stateless pass-through, ensuring no student scores are cached or logged on Vinkius.

Sync your Moodle LMS data with Google Cloud and Vertex AI using Google ADK to automate course operations.

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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.

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Setup Moodle with Google ADK

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Bulk User and Course Setup with Google ADK

Launch new classrooms and manage user accounts using the `create_users` and `create_courses` tools with Google ADK. Feed your student databases directly from BigQuery into your LMS. Because Gemini models handle massive context windows, you can pass entire department schedules in a single prompt. The agent parses the data and executes the commands without losing track of the course structure.

Automated Roster Syncing via Google ADK

Synchronize academic rosters by running the `get_enrolled_users` and `enrol_users` tools within your Google ADK pipeline. Keep your classroom lists updated by connecting your administrative tools directly. This MCP Server setup runs securely inside your Google Cloud environment. You can restrict the agent's capabilities by passing a specific list of tools to the constructor to prevent accidental changes.

Deep Grade Analysis on Google Cloud

Export course materials and grades using the `get_user_grades` and `list_assignments` tools through Google ADK. Extract student performance metrics directly into your cloud analytics tools. By running these queries through this MCP Server, you bypass manual CSV exports. Your agent can search for specific users with `list_users` and build historical progress profiles on the fly.

Setup guide

Set up Moodle 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 Moodle 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="Moodle_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Moodle tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

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

Import `McpToolset` and pass your Vinkius HTTP endpoint into `StreamableHttpServerParameters`. Then, add the toolset directly to your `LlmAgent` to let Gemini models interact with your LMS.

Yes, your agent can read course schedules from BigQuery and use `create_courses` to generate them in the LMS. It can also map category IDs by querying `list_categories` first.

Pass the user passwords through standard environment variables or Google Secret Manager. The ADK transmits the data directly to `create_users` over TLS, ensuring credentials are not exposed in application logs.

You can use the optional tool names filter in the toolset configuration. For example, you can expose only `get_course_contents` and `list_files` while completely blocking administrative tools.

Grade records retrieved via `get_user_grades` are processed in memory within your private VPC. The MCP Server acts as a stateless pass-through, ensuring no student scores are cached or logged on Vinkius.

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