ssuMCP
Server Details
숭실대학교의 모든 정보 제공과 자동화 에이전트 기능을 MCP 표준 도구로 제공하는 공개 서버
지속적으로 업데이트 및 기능 추가 중입니다
공개 도구 •학식 - 학생식당·도담식당·기숙사(레지던스홀)등 모든 식당 메뉴 및 식당정보 •시설 - 캠퍼스 내 카페·편의점·복사 등 검색 •도서관 - 좌석 실시간 조회 / 도서 검색 •공지사항 - 최신 공지 목록·키워드검색·학과별공지 등
개인 도구 요청시 로그인 URL을 받아 한 번 로그인하면 이후 모든 개인 도구를 사용 가능
•u-SAINT - 시간표, 성적, 채플 정보, 졸업요건, 장학금 내역 등 •LMS - 현재 학기 미제출 과제·퀴즈목록 등 •도서관 - 대출 현황 및 반납 기한(예약 현황 및 예약 자동화 에이전트 도입 예정)
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 4.2/5 across 45 of 45 tools scored. Lowest: 3.5/5.
Most tools have clear distinct purposes, but there is mild overlap among meal tools (get_meal_by_date, get_meal_weekly, get_today_meal, get_dorm_weekly_meal) and library seat tools (get_library_available_seats, get_room_available_seats, get_library_seat_catalog, get_library_seat_status). The descriptions help differentiate, but the sheer number of tools can cause confusion.
Naming follows snake_case with verb_noun pattern, but uses a wide variety of verbs (get, search, list, check, find, evaluate, simulate, confirm, prepare, cancel, reserve, swap, wait, logout, start). Some inconsistencies exist, e.g., cancel_library_wait vs wait_for_library_seat, and prepare_cancel vs prepare_reserve. Overall readable but not highly consistent.
With 45 tools, the server is over-scoped. While the domain is broad (academics, library, meals, notices, etc.), many similar tools could be consolidated (e.g., multiple meal retrieval tools). The high count makes the tool set feel bloated and harder to navigate.
The tool set covers a comprehensive range of university-related tasks: academic records, grades, schedule, chapel, scholarships, graduation requirements, library seat reservation, library book search, meal menus, notices, campus facilities, academic calendar, and policy sources. There are no obvious dead ends, and the surface is complete for a student assistant server.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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