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Search BUPT materials, past exams, and freshmen knowledge base in natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "byrdocs-search-mcp" yet — see the docs or source repo.
Search BUPT course materials and prioritize the most relevant content for my major.
Returns matching materials with titles and highly relevant results.
Find past exam papers for a course and organize them by year.
Lists relevant exam papers with years for quick review.
Search the BUPT freshmen knowledge base for course selection and enrollment prep tips.
Returns knowledge and materials related to freshman onboarding.
Students can use natural language to find course notes, reference materials, or campus study content. It is useful when they do not want to browse manually.
When preparing for exams, users can search past papers to review likely question styles and practice materials.
New students can query onboarding and course-selection information from the knowledge base, reducing repeated questions.
It lets AI clients search BUPT byrdocs materials, past exam papers, and the freshmen knowledge base using natural language. It is useful for finding study materials, exam prep content, and onboarding information.
According to the description, it supports BUPT byrdocs materials, past exam papers, and the freshmen knowledge base.
No installation or prerequisite details are provided in the given information; see the source repository for more details.
Query NTUT iSchool+ schedules, syllabi, files, and bulletins in natural language.
Run parallel web searches, filter results, and extract content from pages.
Search academic papers across seven databases with smart relevance ranking.
Search Berlin city services and find, analyze, and fill related PDF forms.
Search student records, marks, and attendance through natural language queries.
Search Google Scholar papers via MCP with filters and citation retrieval.