Canvas LMS
Canvas MCP is a tool that enables AI agents to interact with Canvas LMS, allowing them to find relevant educational resources based on natural language queries. Built by Aryan Keluskar, it leverages the Canvas API to retrieve course information, modules, and module items, while using Google's Gemini AI to analyze queries and determine the most relevant resources. The implementation includes caching mechanisms for improved performance and supports both text-based queries and image analysis to help students find learning materials without leaving their AI assistant conversation. It's particularly valuable for educational workflows where students need quick access to course materials based on specific learning objectives or questions.
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
- media
- Source
- PulseMCP
- Repository
- github.com/aryankeluskar/canvas-mcp
- Author type
- human
- Updated
- 2026-04-25
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.