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.
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This MCP server may use standard commands or have its functionality documented in the README. Check the Setup or README tabs for more information.
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