How to Use the Didacte MCP in Google ADK

Q: Can I filter which Didacte tools are available to Google ADK?

Absolutely. You can use the toolnames filter in your toolset configuration to restrict the agent to only the specific functions you want it to perform.

Link your Didacte LMS directly to Google ADK for enterprise-scale agent workflows on Google Cloud.

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Connect Didacte MCP to Google ADK

Create your Vinkius account to connect Didacte 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 Didacte with Google ADK

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Enterprise course monitoring with Google ADK

Query your entire course catalog using `list_lms_courses` and `search_courses_by_title`. Google ADK agents can now process these lists alongside your BigQuery data sets. This setup allows for complex reasoning across your training metrics. Your agents can compare course completion rates against performance data stored in your Google Cloud infrastructure.

Real-time enrollment visibility

Use `list_course_enrollments` to track who is signed up for specific training. The MCP Server feeds this directly into your agent's long-context memory. It makes managing large-scale training initiatives straightforward. Your agents can identify under-enrolled courses or track progress across thousands of users without hitting memory bottlenecks.

Granular learner profile access

Get deep insights into individual performance using `get_user_learning_profile`. The agent pulls the data it needs to provide tailored guidance or status reports. It avoids the need for manual database queries. By providing a clean interface to the Didacte backend, the server ensures your agent always works with current, verified learner information.

Setup guide

Set up Didacte 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 Didacte 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="Didacte_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Didacte 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 Didacte. 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

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Common questions about Didacte MCP in Google ADK

Initialize an McpToolset with your server URL and pass it into your LlmAgent. It will then expose the Didacte tools as native capabilities for your Gemini-powered agent.

Absolutely. You can use the tool_names filter in your toolset configuration to restrict the agent to only the specific functions you want it to perform.

Yes. The server provides structured data that the Gemini model can ingest easily. You can dump entire course curricula into the context for deep analysis.

You provide your endpoint token when setting up the server. The Vinkius infrastructure handles the handshake, keeping your credentials out of your application code.

The server uses ephemeral sessions. When your agent queries a user profile, that data is processed in your environment and not cached by the server provider.

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