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AnonymousOnyx22/brightspace-d2l-mcp

by Various

MCP server for D2L Brightspace. Connect Brightspace to Claude, ChatGPT, Cursor, Copilot or any AI agent. One-command setup, works at any school.

MCP

AnonymousOnyx22/brightspace-d2l-mcp

Added 21 Sept 2026

#ai #ai-agents #ai-tools #brightspace #d2l #d2l-ai #d2l-brightspace #desire2learn

Overview

MCP server that connects D2L Brightspace to AI agents such as Claude, ChatGPT, Cursor, and Copilot. Provides a one-command setup and works across institutions. Built in TypeScript.

Best for

Best for
Developers and educators using Brightspace who want to control it from AI assistants

Use cases

  • Connect Brightspace to Claude, ChatGPT, Cursor, or Copilot
  • Expose course data to an MCP-compatible AI agent
  • Automate LMS workflows through a standardized protocol

How to use

Install

npx brightspace-d2l-mcp setup

Tools exposed

  • not_open_yet
  • get_todo
  • get_upcoming_due_dates
  • get_my_courses
  • get_my_grades
  • get_assignments
  • get_assignment_files
  • get_course_content
  • get_syllabus
  • get_announcements
  • get_discussions
  • get_roster
  • get_classlist_emails
  • download_file

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, Cline, Continue, VS Code, ChatGPT

Notes

MCP server that connects D2L Brightspace to AI agents such as Claude, ChatGPT, Cursor, and Copilot. Provides a one-command setup and works across institutions. Built in TypeScript.

1 stars on GitHub. Last updated 2026-09-16.

Use cases

  • Connect Brightspace to Claude, ChatGPT, Cursor, or Copilot
  • Expose course data to an MCP-compatible AI agent
  • Automate LMS workflows through a standardized protocol

Pros

  • One-command setup lowers installation friction
  • Works at any school using D2L Brightspace
  • Supports multiple AI clients through MCP

Cons

  • Single GitHub star suggests minimal adoption or validation
  • No evidence of active maintenance or documentation quality
  • Limited community support and ecosystem around the project

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • One-command setup lowers installation friction
  • Works at any school using D2L Brightspace
  • Supports multiple AI clients through MCP

Cons

  • Single GitHub star suggests minimal adoption or validation
  • No evidence of active maintenance or documentation quality
  • Limited community support and ecosystem around the project

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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