Canvas LMS
This MCP server, developed by DMontgomery40, provides integration between AI assistants and the Canvas learning management system API. It offers tools for managing courses, assignments, enrollments, and grades within Canvas. The server leverages TypeScript for type safety and modular architecture to enhance maintainability. Key features include course creation/updating, assignment management, grade submission, and user enrollment. By bridging AI capabilities with Canvas's educational platform, this implementation enables AI-assisted course administration and student management. It is particularly useful for scenarios requiring automated course setup, bulk assignment creation, or AI-guided grading assistance in educational institutions using Canvas LMS.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/dmontgomery40/mcp-canvas-lms
- Author type
- human
- Updated
- 2026-05-26
Use via MCP
Resolve Canvas LMS from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.