How to Use the Blackboard Learn MCP in Google ADK

Q: How do I load Blackboard Learn MCP tools into a Google ADK agent?

You initialize the McpToolset with your Vinkius HTTP endpoint and pass it to your LlmAgent. The agent automatically registers tools like listcourses and makes them available for Gemini to invoke.

Q: Can I use Google ADK to query Blackboard Learn grades via MCP and store them in BigQuery?

Yes, your agent can fetch grades using getcolumngrades and write the structured output directly to BigQuery. This allows you to build real-time dashboards using Google Cloud tools.

Q: Does Google ADK support filtering the Blackboard Learn MCP tools exposed to Gemini?

Yes, you pass a list of allowed tool names to the McpToolset constructor. If you only want the agent to read data, you can restrict it to listcourses and listcalendaritems.

Q: Where are my Blackboard Learn calendar items and announcements processed?

Your calendar items and announcements, managed via createcalendaritem, pass through ephemeral V8 isolates. Vinkius never caches your academic content, and transport-layer encryption protects all data in transit to Google Cloud.

Connect Blackboard Learn to Gemini models using Google ADK to analyze entire course histories in one go.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Blackboard Learn MCP to Google ADK

Create your Vinkius account to connect Blackboard Learn 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.

GDPR Free for Subscribers

Setup Blackboard Learn with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Analyze course metrics with Google ADK

The `list_course_memberships` tool lets your Gemini agent pull entire classroom rosters into its million-token context window over this MCP connection. By combining this with `get_course` and `list_courses`, your agent evaluates enrollment trends across your entire academic catalog. This setup lets you run deep analytics without chunking data. The agent holds the entire course payload in active memory, comparing current registration files against your historical records in BigQuery.

Sync calendar events with this MCP Server

The `create_calendar_item` tool updates student calendars directly when schedule changes occur. Your agent reads update requests from your cloud database and immediately runs `create_course_announcement` to notify everyone enrolled. You can also use `update_course_announcement` to modify existing posts when deadlines shift. Because Google ADK integrates with your Google Workspace, these announcements can trigger companion tasks in your team's shared drives.

Track attendance patterns over time

The `list_meetings` tool retrieves every scheduled session for a specific course ID. Your agent processes this list using `get_meeting_attendance` to identify students who are falling behind on their attendance requirements. The agent writes these attendance summaries back to your cloud data warehouse. You get a complete, structured log of student participation without writing custom ETL pipelines to move data out of Blackboard.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Blackboard Learn. 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.

Connect Blackboard Learn now

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 Blackboard Learn MCP in Google ADK

You initialize the `McpToolset` with your Vinkius HTTP endpoint and pass it to your `LlmAgent`. The agent automatically registers tools like `list_courses` and makes them available for Gemini to invoke.

Yes, your agent can fetch grades using `get_column_grades` and write the structured output directly to BigQuery. This allows you to build real-time dashboards using Google Cloud tools.

Yes, you pass a list of allowed tool names to the `McpToolset` constructor. If you only want the agent to read data, you can restrict it to `list_courses` and `list_calendar_items`.

Gemini's long-context window easily digests large payloads returned by `list_courses`. The agent processes the entire list in a single turn, avoiding the need for complex pagination logic in your code.

Your calendar items and announcements, managed via `create_calendar_item`, pass through ephemeral V8 isolates. Vinkius never caches your academic content, and transport-layer encryption protects all data in transit to Google Cloud.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript