原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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NTNU Courses (unofficial)

作者:MartinSA04版本 0.4.0i★ –i在云端运行
注册名称io.github.MartinSA04/ntnu-mcp

安装

概览

作者提供的说明(英文原文)

Unofficial NTNU course data: search, timetables, grades, course info, and exam logistics.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 游戏、体育、美食与学习

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://ntnu-mcp.martinsundal.no/mcp

在终端中运行这条命令

claude mcp add --transport http ntnu https://ntnu-mcp.martinsundal.no/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "ntnu": {
      "url": "https://ntnu-mcp.martinsundal.no/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "ntnu": {
      "type": "http",
      "url": "https://ntnu-mcp.martinsundal.no/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://ntnu-mcp.martinsundal.no/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 MartinSA04 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“游戏、体育、美食与学习”中的其他服务器比较i

  • 星标数多于此分类中其他 1314 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1314 个服务器的 19% 更新
  • 基础检查结果等于或优于此分类中其他 1314 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

NTNU Courses (unofficial) 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.4.0)于3个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Prices, property, cars, movies, events and sports data (FR, ES, IT, AR, AU), Slotlock, SFX Brew

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Slotlock

Calendars for AI agents: free/busy, next free slot, and bookings PostgreSQL never double-books.

作者:PILOTAAI非常新今天更新

在你的电脑上运行

SFX Brew

Free game sound effects for AI agents: 45 Eastern and general SFX rendered locally to WAV or JS.

作者:2365836149-sketch非常新今天更新

在你的电脑上运行✓ sfxbrew.com

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

ntnu-mcp

A remote MCP server that exposes NTNU (Norwegian University of Science and Technology) course data to LLM assistants; course catalog search, teaching schedules, weekly timetables, grade statistics, course descriptions, exam logistics, and study programs with their official study plans, plus comparison tools for students choosing between courses. Runs as a Cloudflare Worker; no installation required on the client side.

Tools

Twelve tools, all read-only:

  • `search_courses` — free-text search of NTNU's course catalog for a given year; returns codes, names, campus, and exam dates.
  • `get_course_schedule` — every dated teaching activity (lectures, labs) for a course in a year, with Oslo-local times and rooms.
  • `get_weekly_timetable` — the recurring weekly timetable grid for a course: weekday, times, ISO-week ranges, and rooms.
  • `get_grade_distribution` — historical grade distribution for a course, per year and semester, with counts and percentages.
  • `get_course_versions` — the DBH-versioned course codes (e.g. TDT4100-1) behind a bare course code, useful when grade lookups come back empty.
  • `get_semesters` — NTNU's terms with ids like 26h/26v, teaching weeks, exam-period dates, and which term is current.
  • `get_course_info` — everything about a course except exam logistics: credits, level, campus, prerequisites, mandatory activities, content/learning outcomes, credit reductions, the study programs the teaching is planned for, contacts, and alert notices. English by default, language: "nb" for Norwegian.
  • `get_exam_info` — exam logistics for up to 10 courses in one call: every occasion (ordinary/re-sit) with date, start time, duration, permitted-aids code ("hjelpemiddelkode") with its meaning, exam system, and assigned rooms.
  • `search_study_programs` — search NTNU's ~400 study programs by text, level, and city; returns program codes for get_study_plan.
  • `get_study_plan` — the official plan for a program and cohort intake year: courses (codes, credits, mandatory/elective) per semester, with specialization choice points — the bridge from "I study X" to concrete course codes.
  • `compare_courses` — side-by-side comparison of several courses: name, campus, exam dates, weekly teaching hours, and latest grade distribution.
  • `check_timetable_conflicts` — pairwise check for weekly-schedule clashes and exam-date collisions across a set of courses, before registering for them.

Connecting

Paste the server's MCP URL into Claude's or ChatGPT's custom connector settings:

https://ntnu-mcp.martinsundal.no/mcp

The server requires no authentication, since it only serves public, read-only NTNU course data.

The server is also listed in the official MCP registry as io.github.MartinSA04/ntnu-mcp (see server.json); clients that browse the registry can discover it there. It is an unofficial community server, not affiliated with NTNU. Registry updates are tag-driven: npm version && git push --follow-tags — the version script keeps server.json in sync, and the release workflow runs the check suite, deploys the Worker, re-publishes the registry entry (GitHub OIDC), and creates the GitHub Release.

Architecture

All NTNU upstream knowledge — endpoints, retry policy, parsing of the Liferay catalog, DBH grade statistics, and TP semester data — lives in the ntnu-api TypeScript client library, which this repo depends on as an npm package. Upstream fixes and new data sources land in `ntnu-api`, not here. This repo's only job is to call that typed client and shape its output for LLM consumption: English names with Norwegian fallback, Oslo-local timestamps, grade rows collapsed into per-term distribution tables, and guidance notes on empty results. This layering is set out in ntnu-api's TypeScript migration spec.

To keep load on NTNU's servers minimal, every upstream call is cached in two tiers (per-isolate memory in front of a shared Workers KV namespace), so each resource is fetched roughly once per TTL globally: catalog searches, timetables, and schedules for 1 hour; grade statistics and the semester list for 24 hours. KV failures degrade to memory-only caching, never to tool errors. In tests the cache runs memory-only.

Local development

Requires Node 22 (pinned via mise).

mise install     # installs the pinned Node version

npm install

Common tasks, available both as mise tasks and npm scripts:

mise run dev          # npm run dev       — wrangler dev, local worker with hot reload

mise run test # npm test — vitest, over captured fixtures (no live network) mise run typecheck # npm run typecheck — tsc --noEmit mise run lint # npm run lint — biome check mise run fmt # npm run fmt — biome check --write mise run check # lint + typecheck + test

Tests run under plain Node (not the Workers pool) with vitest, driving the tool functions directly against fetch fixtures captured verbatim from ntnu-api's test suite — no calls to real NTNU services are made in CI or locally.

Deploy

Pushes to main deploy automatically (the repo is connected to Cloudflare Workers Builds). For a manual deploy from a checkout:

npm run deploy   # wrangler deploy

Runs on Cloudflare's free plan: the MCP session state is backed by a Durable Object using SQLite storage, which is available on the free tier (no Workers Paid subscription required unless per-request CPU limits are hit at scale).

License

MIT — see LICENSE.

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