How to Use the LearnUpon MCP in Google ADK

Q: How do I initialize the LearnUpon MCP Server within Google ADK?

Use McpToolset with StreamableHttpServerParameters and pass it to your LlmAgent instance. Install the framework via pip install google-adk and configure the MCP connection using your Vinkius credentials.

Q: Can I restrict which LearnUpon tools the Google ADK agent can access?

Yes, you can pass an optional tool names filter to the McpToolset constructor to limit access. This prevents your agent from calling destructive tools like unenrolluser if you only want it to read data.

Q: How does Google ADK analyze large volumes of LearnUpon enrollment data?

The agent calls listenrollments and feeds the raw JSON directly into Gemini's 1M+ token context window. This allows the model to perform complex compliance analysis without hitting rate limits through constant small queries.

Q: Can my agent update user profiles in real-time?

Yes, the agent calls updateuser to modify names or emails as soon as changes occur in your Google Cloud HR database. This keeps your LMS database synchronized with your primary directory.

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Connect LearnUpon MCP to Google ADK

Create your Vinkius account to connect LearnUpon 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 LearnUpon with Google ADK

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Sync BigQuery employee data to LearnUpon

The `create_user` tool allows your Google ADK agent to build new LearnUpon learner accounts directly from your Google Cloud databases. By querying your BigQuery employee table, the agent identifies new hires and passes their details to the LMS. This Google ADK integration supports Stdio and HTTP transports to connect your cloud infrastructure to the LearnUpon MCP Server. You can restrict the agent's scope by filtering the exposed tool list to only allow creation actions.

Audit compliance using long-context reasoning

The `list_enrollments` tool retrieves your entire LearnUpon training history to feed directly into the Google ADK Gemini agent's context window. Gemini parses thousands of enrollment records in a single run to spot gaps. Use `search_users` to pinpoint specific non-compliant LearnUpon records once the Google ADK agent completes its audit. The agent then updates the user's details using `update_user` to flag them for immediate review.

Automate course discoverability via MCP Server tools

The `search_courses` tool lets your Google ADK agent find LearnUpon training modules that match specific skills stored in your HR database. Once matched, the agent uses `enroll_user_in_course` to assign them. This setup runs inside the Vinkius zero-trust environment, ensuring your proprietary LearnUpon course lists remain isolated from other Google ADK tasks. Because Google ADK manages the credentials, your agent only needs a single endpoint token.

Setup guide

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

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Common questions about LearnUpon MCP in Google ADK

Use `McpToolset` with `StreamableHttpServerParameters` and pass it to your `LlmAgent` instance. Install the framework via `pip install google-adk` and configure the MCP connection using your Vinkius credentials.

Yes, you can pass an optional tool names filter to the `McpToolset` constructor to limit access. This prevents your agent from calling destructive tools like `unenroll_user` if you only want it to read data.

The agent calls `list_enrollments` and feeds the raw JSON directly into Gemini's 1M+ token context window. This allows the model to perform complex compliance analysis without hitting rate limits through constant small queries.

Yes, the agent calls `update_user` to modify names or emails as soon as changes occur in your Google Cloud HR database. This keeps your LMS database synchronized with your primary directory.

We run this server inside a zero-trust V8 isolate that completely segregates your enrollment records and user profiles. Authentication tokens are handled upstream by Vinkius, meaning your actual keys are never stored or logged.

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