How to Use the 360Learning MCP in Google ADK

Q: Can I limit the tools available to Google ADK?

Use the toolnames filter in your McpToolset setup. This restricts your agent to only the specific 360Learning actions you want it to perform.

Integrate 360Learning into your Google ADK agent for enterprise training management.

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Connect 360Learning MCP to Google ADK

Create your Vinkius account to connect 360Learning 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 360Learning with Google ADK

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Syncing Google ADK with platform users

Run `list_users` to pull active profiles into your agent's context. You can then use these IDs to manage permissions or track individual progress. This gives your agent a complete view of your organizational structure. It eliminates manual lookups when building custom training dashboards.

Reporting with 360Learning and Google ADK

Use `list_groups` to find relevant cohorts and run `get_stats` to pull their completion data. Your agent aggregates these numbers to identify skill gaps. It connects your training data to the logic powering your Google Cloud infrastructure. You see exactly where learners are stalling out.

Deep course inspection

The `list_courses` tool acts as your directory for all available modules. Once your agent selects a course, `get_course` provides the specific lesson overview. This workflow allows your agent to construct tailored learning paths. It turns static course catalogs into actionable, data-driven sequences.

Setup guide

Set up 360Learning 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 360Learning 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="360Learning_agent",
    model="gemini-2.0-flash",
    instruction="You have access to 360Learning tools via MCP.",
    tools=mcp_tools,
)

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Common questions about 360Learning MCP in Google ADK

Initialize the McpToolset with your server URL and include it in your LlmAgent tool list. Your agent will immediately start communicating with the platform.

It excels at processing the long-context output from these tools. You can feed entire course structures into your Gemini-powered agent for deep analysis.

All platform traffic flows through a Vinkius-managed tunnel. We only expose course completion metrics and metadata to your agent, keeping your sensitive PII behind an authentication layer.

Use the tool_names filter in your McpToolset setup. This restricts your agent to only the specific 360Learning actions you want it to perform.

The setup supports both Stdio and HTTP transports. You can choose the connection method that best fits your local or cloud deployment architecture.

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