pw-mcp
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- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to access PSG College of Technology e-campus portal data including CA marks, attendance records, timetable schedules, and course information through natural language queries.4MIT
- FlicenseNot gradedqualityCmaintenanceEnables an AI assistant to help students by providing tools for math calculations, attendance tracking, marks analysis, reading PDF notes, searching lecture notes, and checking college regulations.-
- FlicenseNot gradedqualityCmaintenanceConnects AI assistants to the FAST-NUCES Flex Student Portal, enabling students to query their academic data including attendance, marks, transcript, and fee reports through natural language conversations.6-
- FlicenseNot gradedqualityBmaintenanceEnables AI assistants to query and manage student placement information, including attendance, CGPA, backlogs, eligibility, and placement drives, through natural language.-
- FlicenseBqualityCmaintenanceEnables AI assistants to calculate CGPA, view assignment deadlines, filter deadlines by subject, and search local subject notes.3-

MCPaeroeduofficial
AlicenseAqualityCmaintenanceEnables AI assistants to interact with the AeroEduVision platform, allowing exam generation, course management, knowledge graph queries, and student progress tracking through natural language commands.24MIT
TDQS
Scored across 15 tools
Tools are mostly distinct by resource and filter: schedule queries differ by time range, and backlog queries differ by subject/chapter/aggregate. Minor ambiguity exists between get_next_lecture and get_oldest_backlog_lecture, and get_backlog vs get_backlog_summary, but descriptions largely resolve this.
All tool names follow a consistent verb-first pattern: get_, mark_, update_, generate_. Nouns are clear and singular, with no mixed casing or vague action verbs.
15 tools is at the upper edge of well-scoped, and most tools serve a distinct purpose. A few convenience getters (today's schedule, upcoming schedule, date-range schedule) could be consolidated, but the count is still reasonable for the domain.
The surface covers schedule lookup, backlog filtering, completion state changes, watched minutes, stats, and study plan generation. Minor gaps like explicit subject/chapter listing or a way to view all lectures outside a date range are workable around.