How to Use the eduMe MCP in Google ADK

Q: How do I configure the eduMe MCP Server with Google ADK?

Install the ADK and use the McpToolset class with StreamableHttpServerParameters pointing to your Vinkius URL. Pass the toolset object to your LlmAgent tool list.

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

Yes. Use the optional toolnames filter in your McpToolset configuration to expose only specific tools like quickteamtrainingaudit while hiding administrative endpoints.

Q: How does Google ADK handle long-context reasoning with eduMe data?

The ADK feeds raw JSON outputs from tools like getusertrainingprofile directly into Gemini's context window. This allows the model to analyze years of training logs in a single turn.

Let your Google ADK enterprise agents analyze mobile learning data and course completions directly via MCP.

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Connect eduMe MCP to Google ADK

Create your Vinkius account to connect eduMe 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 eduMe with Google ADK

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Sync training data with Google ADK pipelines

To extract your user list, the `list_trained_users` tool pulls the entire list of registered learners from your mobile training platform. Your Google ADK agent calls this MCP tool to retrieve active user records and cross-reference them with your enterprise data warehouse. By combining this tool with BigQuery tools inside your ADK toolset, your Gemini agent can find correlations between training completion rates and team performance metrics. You get direct analytics without manual data exports.

Query trainee records using Gemini long-context

Finding specific learners is fast because the `search_trainees_by_keyword` tool matches specific names or external identifiers against your mobile learning database. Your Google ADK agent uses this tool to locate specific employee records when processing natural language queries in your enterprise chat. Since Gemini models handle massive token contexts, your agent can ingest multiple search results and match them against complex organizational charts. The agent finds the exact trainee record and updates their learning path instantly.

Map team metrics with Google ADK

To organize your workforce, the `list_training_teams` tool lists all configured user groups and teams in your learning management system. Your Google ADK agent uses this list to organize training audits by department or geographical region. The agent reads the team structures, queries their progress, and outputs clean reports directly into Vertex AI pipelines. This removes the need for custom data sync scripts between your learning platform and your cloud infrastructure.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by eduMe. 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 eduMe MCP in Google ADK

Install the ADK and use the `McpToolset` class with `StreamableHttpServerParameters` pointing to your Vinkius URL. Pass the toolset object to your `LlmAgent` tool list.

Yes. Use the optional `tool_names` filter in your `McpToolset` configuration to expose only specific tools like `quick_team_training_audit` while hiding administrative endpoints.

The ADK feeds raw JSON outputs from tools like `get_user_training_profile` directly into Gemini's context window. This allows the model to analyze years of training logs in a single turn.

Yes. The server runs in a secure sandbox on Vinkius, meaning your cloud environment only needs to communicate with a single, authenticated HTTPS endpoint.

All transactions run through an ephemeral V8 sandbox that destroys itself after execution. Your employee names, course progress, and group structures are processed in-memory and never cached or logged by Vinkius.

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