Schema | campus-course

campus-course

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
search_coursesA	根据课程名称、课程编号或教师姓名搜索课程，关键词支持模糊匹配。例如：关键词“张”可找出张老师的所有课程；关键词“python”可找出 Python 程序设计课程。返回匹配课程的编号、名称、教师、上课时间、地点与学分列表；无匹配时返回提示信息。
get_courseA	按课程编号精确查询某一门课程的详细信息（含任课教师信息）。 `course_id 形如 CS101、AI201。返回课程名、星期、节次时间、地点、学分，以及教师姓名、职称、院系、邮箱。`
list_courses_by_weekdayA	查询星期几有哪些课（当天课程表）。 weekday 支持“周一”“星期一”“Mon”“1”等常见写法，按上课时间排序返回课程编号、名称、教师、节次时间、地点与学分；当天没课时返回提示信息。
get_teacherA	按教师姓名（如“李老师”）或工号（如 T002）查询教师信息。返回教师职称、院系、邮箱，以及该教师本学期所授全部课程列表。
list_assignmentsA	查询课程作业列表及截止日期；不传 course_id 时返回全部课程的作业。 `course_id 形如 CS101。每条作业包含课程编号、课程名、作业标题、截止日期和作业要求说明，按截止日期排序；查不到作业时返回提示信息。`

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/MEIQI-Lee/mcp-course'

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