Enables Large Language Model interaction with the Macau University of Science and Technology (M.U.S.T.) campus system, automating various academic tasks.
Sponsored
MUSTer is an MCP server designed to bridge Large Language Models with the M.U.S.T. (Macau University of Science and Technology) campus system. It empowers LLMs to seamlessly interact with platforms like Wemust and Moodle, automating a wide range of academic operations. This includes everything from logging in and fetching class schedules to querying course materials, viewing assignments, downloading resources, and directly opening authorized web pages, significantly enhancing student productivity and information access.
Key Features
01Retrieve current class schedules and upcoming deadlines
02Automated login to Wemust and Moodle platforms
03Open specified web pages with automatic authorization
04List all courses and access specific course content details
05Download course materials and resources from Moodle
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Use Cases
01Empowering AI agents to manage student academic tasks automatically
02Automating information retrieval from M.U.S.T. campus platforms like Moodle
03Streamlining the download of course materials and management of deadlines for students