Brightspace d2l MCP: MCP server, setup and security

What Brightspace d2l MCP does

According to its repository: “D2L Brightspace for students: due dates with submission status, grades, assignments and rubrics, announcements and discussions, using browser sign-in.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Brightspace d2l MCP is listed under Education, a category of 9 servers in the directory, where it ranks #5 by stars.

Topics declared by the repository: brightspace, d2l, d2l-ai, d2l-brightspace, desire2learn, education.

Installing and connecting Brightspace d2l MCP

Distribution modes declared in the official MCP registry:

• npm package (Node.js, usually started with npx)

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript. Listed systems: macOS, Windows, Linux.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

Points found for Brightspace d2l MCP:

• No licence: without a licence the code is not legally reusable, even if it is public. Avoid it in a company setting without the author's agreement.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on September 16, 2026, the AnonymousOnyx22/brightspace-d2l-mcp repository has 28 stars and 0 forks, with 0 open issues. It has more stars than 43% of the servers in the directory. It received changes this month. Version published in the registry: 1.4.4 (October 24, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.