How to Use the D2L Brightspace MCP in Google ADK

Q: How to connect D2L Brightspace to Google ADK?

Pass your server URL into the McpToolset constructor. The framework then exposes the LMS tools to your LlmAgent instance.

Q: How do I list D2L Brightspace roles in Google ADK?

Call the listroles tool through your toolset. This returns a list of system permissions, which you can use to refine your agent's logic.

Run D2L Brightspace LMS operations inside your Google ADK agent framework.

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Connect D2L Brightspace MCP to Google ADK

Create your Vinkius account to connect D2L Brightspace 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 D2L Brightspace with Google ADK

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Perplexity

Google ADK course management

Connect your agents to course data using `get_course` and `list_org_unit_children`. It lets your model reason over academic structures at scale. Create new units or update existing ones using `create_org_unit`. Your agents maintain the hierarchy while you focus on the logic.

Data-driven student insights

Analyze performance by combining `list_quiz_attempts` with your existing BigQuery data. You build smarter agents that understand student progress across semesters. Use `get_user_grade` to pull specific metrics into your long-context model. The agent processes the info and decides whether to trigger follow-up interventions.

Direct LMS interaction via MCP

Execute `create_post` or `upload_eportfolio_artifact` to engage students automatically. Your agent acts as a virtual teaching assistant within the D2L Brightspace environment. Filter tool access using the `tool_names` parameter in your `McpToolset`. This ensures your agent only touches the specific LMS functions you allow.

Setup guide

Set up D2L Brightspace 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 D2L Brightspace 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="D2L Brightspace_agent",
    model="gemini-2.0-flash",
    instruction="You have access to D2L Brightspace 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 D2L Brightspace. 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 D2L Brightspace MCP in Google ADK

Pass your server URL into the `McpToolset` constructor. The framework then exposes the LMS tools to your `LlmAgent` instance.

Absolutely. You can list assignments, check submissions, and provide feedback using the provided toolset functions.

Yes. You can pull massive amounts of course data into the context window, allowing for deep analysis of student performance trends.

Call the `list_roles` tool through your toolset. This returns a list of system permissions, which you can use to refine your agent's logic.

All student PII and grade data remains within your Vinkius-hosted sandbox. The server uses strict token-based auth to ensure only your agent views the records.

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