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How to Use the EdApp MCP in Google ADK

Integrate your Google ADK agents with EdApp for deep analytics and automated training management on Google Cloud.

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Google ADK

Connect EdApp MCP to Google ADK

Create your Vinkius account to connect EdApp 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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Analyze EdApp metrics via Google ADK

Pipe your training data directly into BigQuery by using `get_catalog_statistics`. Your agent summarizes performance trends across your global workforce. It turns raw lesson data into actionable insights. You can query the agent to explain why certain teams outperform others in specific training categories.

Sync courses and collections

Your agent maps your training library using `list_course_lessons` and `list_course_collections`. It organizes content based on the parameters you provide, making it easier to deploy targeted learning paths. This removes the need for manual file management. The agent maintains a live link to your EdApp content, ensuring your infrastructure always reflects the current course list.

Manage users with Google ADK

Use `list_learners` to pull user lists and `get_learner_details` to verify specific training histories. Your agent cross-references this with your internal employee database. It handles user lifecycle tasks at scale. When an employee changes roles, the agent updates their training requirements automatically based on the latest EdApp data.

Setup guide

Set up EdApp 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 EdApp 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="EdApp_agent",
    model="gemini-2.0-flash",
    instruction="You have access to EdApp 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 EdApp. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about EdApp MCP in Google ADK

You can iterate through learners using the toolset, but perform bulk actions in batches. This keeps your Google ADK agent within standard API operational limits.
The agent calls `get_course_progress_report` to retrieve real-time completion status. It then processes this data to trigger notifications or reporting updates.
Vinkius handles the auth layer. You only supply a scoped endpoint token, keeping your primary EdApp credentials isolated from your cloud environment.
It processes learner progress, training scores, and account identifiers. These are handled as transient payloads within your secure agent runtime.
Yes, you use the tool_names filter in your toolset configuration. This limits the agent to only the specific EdApp functions you want it to perform.

Start using the EdApp MCP today

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Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for EdApp. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

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