How to Use the DigitalChalk MCP in Google ADK

Q: Can I filter DigitalChalk tools in Google ADK?

You can. Use the toolnames filter to restrict which tools the agent can access. This ensures the agent only performs the specific LMS tasks you intend.

Connect DigitalChalk to Google ADK. Build enterprise agents that act on your LMS data within the Google Cloud ecosystem.

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Connect DigitalChalk MCP to Google ADK

Create your Vinkius account to connect DigitalChalk 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 DigitalChalk with Google ADK

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Direct LMS integration for Google ADK

Your agent uses `list_lms_users` to pull registration data into your Google Cloud workflows. It links user identities to your broader infrastructure using `search_users_by_identity`. This creates a unified view of your learners. You avoid fragmented data by keeping your LMS activity in sync with your existing cloud-based applications.

Scalable course management for Google ADK

Monitor all available course offerings with `list_course_offerings`. When you need deep insights, use `get_offering_details` to pull specific configuration data. Your agents handle large datasets without breaking a sweat. It makes managing enterprise training programs easier when your agent can query the catalog on demand.

Automated learner progress reporting

Track completion rates using `list_recent_course_completions` and `get_user_learning_profile`. These tools feed raw data directly into your agent's reasoning process. It eliminates manual reporting tasks. Your agent processes these completion metrics so you can focus on building better training content.

Setup guide

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

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Common questions about DigitalChalk MCP in Google ADK

Yes. It supports standard HTTP transports, allowing your Google ADK agents to talk to the DigitalChalk API. You just point the toolset to the server URL.

You can. Use the `tool_names` filter to restrict which tools the agent can access. This ensures the agent only performs the specific LMS tasks you intend.

It does. You can feed large volumes of learner data into the context window for reasoning. The agent processes the information retrieved by the tools to identify trends across your course catalog.

Authentication is handled through a single endpoint token. Once configured, all communication between your Google Cloud environment and the LMS remains isolated.

The server transmits only the data your agent requests. Your private learner lists and profile information stay within your environment and are not stored by the MCP server itself.

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