Compatible with every major AI agent and IDE
What is the Blackboard Learn MCP Server?
Connect your Blackboard Learn environment to any AI agent to streamline educational management and course administration through natural conversation.
What you can do
- Course Management — List all active courses, fetch specific course details, and manage user enrollments or memberships.
- Announcements — View system-wide announcements or create and update specific course announcements to keep students informed.
- Attendance Tracking — List scheduled meetings, create new attendance sessions, and mark or retrieve attendance records for users.
- Gradebook Access — Monitor academic performance by listing gradebook columns, fetching specific grades, and tracking recent grade changes.
- Calendar & Scheduling — List and create calendar items to manage deadlines and events across the academic term.
- User Administration — List system users, create new user profiles, and view course loads for specific individuals.
How it works
- Subscribe to this server
- Enter your Blackboard Learn Base URL and Personal Access Token
- Start managing your LMS environment from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Instructors & Teachers — quickly post announcements, check who attended class, and review recent grade updates without navigating complex menus.
- Academic Administrators — manage enrollments and monitor system-wide announcements across multiple departments.
- Students & Researchers — query course details and calendar deadlines directly from their workspace.
Built-in capabilities (20)
Create a calendar item
Create a course announcement
Create a new attendance meeting
Create a new user
Delete a calendar item
Enroll a user in a course
Get grades for a column
Get course details
Get attendance records for a meeting
Check for recent grade changes
List calendar items
List course memberships
List courses
List gradebook columns
List all attendance meetings for a course
List system announcements
List courses for a specific user
List users
Mark attendance for a user
Update a course announcement
Why Google ADK?
Google ADK natively supports Blackboard Learn as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 20 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Blackboard Learn
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Blackboard Learn tools with BigQuery, Vertex AI, and Cloud Functions
Blackboard Learn in Google ADK
Blackboard Learn and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Blackboard Learn to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Blackboard Learn in Google ADK
The Blackboard Learn MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 20 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Blackboard Learn for Google ADK
Every tool call from Google ADK to the Blackboard Learn MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I check the attendance records for a specific class meeting?
You can use the get_meeting_attendance tool by providing the Course ID and Meeting ID. The agent will retrieve the full list of users and their current attendance status (e.g., Present, Absent).
Is it possible to see recent changes in student grades?
Yes, use the get_recent_grade_changes tool. It allows you to monitor updates in the gradebook, helping you stay informed about recent evaluations and adjustments.
Can I post a new announcement to my students through the AI?
Absolutely. Use the create_course_announcement tool. Just provide the Course ID, a title, and the body of your message, and the agent will publish it to the course immediately.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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