How to Use the LearnWorlds MCP in Google ADK

Q: How do I configure LearnWorlds MCP tools inside Google ADK?

Initialize McpToolset with your Vinkius HTTP URL, then pass it to your LlmAgent tools list. This exposes tools like getstudentdetails directly to Gemini.

Q: Can I limit which LearnWorlds tools my Google ADK agent can use?

Yes. Use the ADK toolnames filter when initializing your toolset to restrict access, ensuring your agent only calls safe tools like getcoursecontents while blocking write tools.

Q: How do I analyze LearnWorlds subscription trends using Google ADK?

Your agent calls listsubscriptions to pull membership records, then processes the raw data inside Gemini's long-context window. You can then direct the agent to export these trends straight to BigQuery.

Run enterprise-grade LMS automation on Google Cloud by linking LearnWorlds to your Google ADK agent flows.

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Connect LearnWorlds MCP to Google ADK

Create your Vinkius account to connect LearnWorlds 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 LearnWorlds with Google ADK

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Multi-course data analysis with Google ADK

The `list_courses` tool pulls your entire catalog of classes into your Gemini context window. When combined with Google ADK, your agent uses Gemini's 1M+ token context to analyze course descriptions, structure, and student performance data simultaneously. This lets you run deep audits on your educational material without running out of memory. Your agent can cross-reference this course list with active student profiles pulled via `list_students`. Because the ADK links natively with Google Cloud, you can feed these insights directly into BigQuery for long-term storage and visualization.

Automated payment reconciliation in BigQuery

The `list_payments` tool extracts raw transaction records from your school database. Connecting this tool to Google ADK allows your agent to match LMS purchases against your actual bank deposits or invoice sheets. The agent queries the transaction data and logs discrepancies directly to your cloud data warehouse. To prevent your agent from accessing sensitive student profiles during financial audits, you can restrict its scope. Use the ADK `tool_names` filter to expose only this payment tool and `list_subscriptions`, keeping other student records hidden.

Enterprise student onboarding via Google ADK MCP Server

The `create_student` tool registers new users into your online school instantly. Using this MCP Server with Google ADK, you can trigger user creation based on external enterprise events, like a new row in a BigQuery table or a cloud pub/sub message. Your Gemini agent reads the input data and executes the creation tool. After creating the profile, the agent uses `enroll_student` to assign the correct course track. This automation eliminates manual admin tasks, giving enterprise employees immediate access to their training portals.

Setup guide

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

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Common questions about LearnWorlds MCP in Google ADK

Initialize `McpToolset` with your Vinkius HTTP URL, then pass it to your `LlmAgent` tools list. This exposes tools like `get_student_details` directly to Gemini.

Yes. Use the ADK `tool_names` filter when initializing your toolset to restrict access, ensuring your agent only calls safe tools like `get_course_contents` while blocking write tools.

Your agent calls `list_subscriptions` to pull membership records, then processes the raw data inside Gemini's long-context window. You can then direct the agent to export these trends straight to BigQuery.

The integration supports both Stdio and HTTP transports, letting you run your agent workflows locally or host them on Google Cloud Run.

All requests to fetch student names or enrollment records run through ephemeral, zero-trust V8 sandboxes. Your Google ADK agent authenticates using a single secure token, keeping your LMS API keys hidden from the MCP agent.

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