Compatible with every major AI agent and IDE
What is the D2L Brightspace MCP Server?
Connect your D2L Brightspace environment to any AI agent to streamline learning management and administrative workflows.
What you can do
- Course Management — Retrieve course details, create new offerings, and copy course content between org units using
get_courseandcopy_course. - User Administration — List system users, create new accounts, and manage roles and permissions with
list_usersandcreate_user. - Grade Tracking — Access grade lists and update individual student grades for specific assignments using
get_user_gradeandupdate_user_grade. - Content & Communication — Explore course modules, manage discussion forums, and create new topics or posts via
list_root_modulesandcreate_post. - Assessments — Monitor quizzes, surveys, and assignment submissions, and provide direct feedback using
list_submissionsandprovide_feedback.
How it works
- Subscribe to this server
- Provide your Brightspace Host URL and Access Token
- Start managing your educational ecosystem from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Instructors — Quickly check student progress, provide feedback on assignments, and manage course content without navigating complex menus.
- LMS Administrators — Automate user creation, enrollment management, and organizational unit structuring.
- Academic Researchers — Extract course data and assessment metrics for analysis through natural language queries.
Built-in capabilities (33)
Initiate a course copy job
Create a course offering
Enroll a user in an org unit
Create an LTI Advantage tool deployment
Create custom org units
Create a post in a discussion topic
Create a discussion topic in a forum
Create a new user
Unenroll a user from an org unit
Retrieve course details
Retrieve course template info
Retrieve org unit properties
Retrieve user grades for a specific grade object
Retrieve current user context
List assignment folders (dropboxes)
List discussion forums in a course
List grade objects for a course
List legacy LTI 1.1 links
List LTI Advantage tool registrations
List current user enrollments
List current user ePortfolio objects
List child units of an org unit
List attempts for a specific quiz
List quizzes in a course
Retrieve system roles
List root modules of course materials
List submissions for an assignment folder
List surveys in a course
Search or page through users
Provide feedback for an assignment submission
Update user data
Update a user grade
Upload a file artifact to ePortfolio
Why Vercel AI SDK?
The Vercel AI SDK gives every D2L Brightspace tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 33 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same D2L Brightspace integration everywhere
- —
Built-in streaming UI primitives let you display D2L Brightspace tool results progressively in React, Svelte, or Vue components
- —
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
D2L Brightspace in Vercel AI SDK
D2L Brightspace and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect D2L Brightspace to Vercel AI SDK 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 D2L Brightspace in Vercel AI SDK
The D2L Brightspace 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 33 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK 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
D2L Brightspace for Vercel AI SDK
Every tool call from Vercel AI SDK to the D2L Brightspace MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check a specific student's grade for a course unit?
Yes. By using the get_user_grade tool with the appropriate Org Unit ID and User ID, the agent can retrieve the current grade details for that student.
Is it possible to list all modules within a course structure?
Absolutely. Use the list_root_modules tool to fetch the top-level content structure for any specific course org unit.
Can I manage discussion forums through this agent?
Yes, you can use list_forums to see available forums and create_topic or create_post to interact with the discussion boards.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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