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Search student records, marks, and attendance through natural language queries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "College AI Assistant" yet — see the docs or source repo.
Search for the student profile of Zhang San and return the major, year, and student ID.
Returns the matched student's basic profile details.
Show the marks and attendance for student ID 20230018 and provide a brief summary.
Returns the student's marks, attendance data, and a short summary.
Find students with low attendance and list them from lowest to highest attendance rate.
Returns a ranked list of students with low attendance.
Administrative staff or advisors can search student profiles in natural language and directly view marks and attendance, reducing the need to switch between systems.
When a college needs to monitor attendance issues, it can quickly identify low-attendance students for follow-up reminders or intervention.
This MCP tool lets AI assistants such as Gemini interact with student data through natural language, useful for campus internal Q&A or lookup workflows.
It is an MCP tool that supports searching student profiles, viewing marks and attendance, and finding low-attendance students. It enables AI assistants to access this data through natural language.
The provided information explicitly mentions AI assistants like Gemini. For more compatibility details, see the source repository.
The current materials do not provide specific installation steps, runtime requirements, or key requirements. Please see the source repository for prerequisites.
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Search a personal document collection semantically and retrieve full source documents.
Search university courses, prerequisites, instructors, and departments with natural language.