TypeScript MCP server for Canvas LMS β 115 read+write tools across 17 domains.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
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π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
The TypeScript MCP server for Canvas LMS.
MCP server for Canvas LMS. Read courses, assignments, submissions, rubrics, quizzes; grade, comment, manage course content, and handle Canvas admin workflows from any AI agent.
165 tools across Canvas courses, assignments, submissions, gradebook history, rubrics, quizzes, New Quizzes (LTI), files, users, groups, enrollments, discussions, modules, pages, calendar, conversations, peer reviews, accounts, analytics, outcomes, grading standards, grade projection, link audit, accessibility audit, content exports, content migrations, quiz accommodations, appointment groups, student workflows, student search, dashboard, instructor attention workflows, and health checks. Three deployment modes: stdio, HTTP, and library import.
canvas-lms-mcp.mcpb from the latest release.https://school.instructure.com (do not append /api/v1). Teachers and staff handling student data can also flip FERPA mode β pseudonymize students on in the same dialog (what it does).No terminal, no Node.js install, no config-file editing β Claude Desktop bundles the runtime and handles config for you. The same .mcpb works in Claude Code and MCP for Windows.
Prefer the terminal? Use the Quick Start below.
Click a badge to open Cursor or VS Code with canvas-lms-mcp pre-configured (placeholder credentials filled in β replace with your actual Canvas API token and base URL after install). For manual config-file setup, see docs/manual-setup.md.
Installs the MCP server (via npx canvas-lms-mcp) and all 16 Agent Skills in a single step, versioned and updatable through Claude Code's plugin manager. On enable, Claude Code prompts for your Canvas API token and base URL (and the optional FERPA pseudonymization settings). See the Claude Code plugins reference for how marketplaces and plugin manifests work.
| canvas-lms-mcp | vishalsachdev/canvas-mcp | DMontgomery40/mcp-canvas-lms | |
|---|---|---|---|
| Language | TypeScript | Python | TypeScript |
| Tools | 165 | 80+ | 54 |
| License | |||
| Last commit |
The wizard detects your installed AI clients (Claude Desktop, Cursor, VS Code, Windsurf, Codex, Continue, Claude Code), prompts for your Canvas token and base URL, validates the credentials against your Canvas instance, and writes the config for every client you select.
add-mcp is also supported as a generic alternative: npx add-mcp canvas-lms-mcp.
For clients not yet supported by the wizard, or if you prefer editing config files by hand, see docs/manual-setup.md.
Install reusable Canvas workflows into Claude Code, Cursor, GitHub Copilot, Cline, and 40+ other AI agents:
| Skill | Description |
|---|---|
canvas-at-risk-students | Surface students with missing assignments or declining grades and send targeted outreach |
canvas-gradebook-audit | Inspect the full grade-change audit trail β who changed what grade, when, and by how much |
canvas-outcome-tracker | Track learning outcome mastery and class-wide proficiency for accreditation and program review |
canvas-accessibility-sweep | Pre-launch WCAG accessibility and broken-link sweep of a course, with a prioritised remediation list |
canvas-office-hours | Create, publish, and manage Canvas Scheduler office-hour sign-up slots and see who reserved |
Skills are markdown workflow files (no extra dependencies). They work with the MCP server you already have installed. See the skills/ directory for the full list.
Once configured, try these prompts with your AI client:
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