imscc-mcp

imscc-mcp

An MCP server that enables the creation of Canvas Common Cartridge (.imscc) packages from structured course data using the canvas_cc Ruby gem. It allows users to programmatically build course content including modules, assignments, and rubrics for import into compatible Learning Management Systems.

Category
访问服务器

README

imscc-mcp

Repo: https://github.com/InquiryInstitute/imscc_mcp

MCP server that builds Canvas Common Cartridge (.imscc) packages using Instructure’s Ruby gem canvas_cc. Cartridges are Canvas-profile CC files; many LMSes (including Populi) can import valid Common Cartridge 1.x zip/imscc.

Populi: “webcontent … skipped”

Wiki/lesson pages from canvas_cc are type="webcontent" in imsmanifest.xml. Populi often skips them (you may see two errors for two pages). Assignments typically use associatedcontent/imscc_xmlv1p1/learning-application-resource and import more reliably. When authoring from imscc_template, run assemble-spec.mjs --populi to omit wiki pages and wiki module items; see docs/POPULI.md there.

Prerequisites

  • Node.js ≥ 18
  • Ruby + Bundler
  • From this repo root: bundle install (installs gems into vendor/bundle per .bundle/config)

Setup

cd ~/GitHub/imscc_mcp
bundle install
npm install
npm run build

Tests

bundle install
npm install
npm test

Runs integration checks on ruby/build_cartridge.rb: successful builds produce a ZIP with imsmanifest.xml; invalid specs are rejected.

Run

node dist/index.js

Cursor / MCP client

Point command at node and args at the absolute path to dist/index.js after npm run build. No env vars are required.

Tools

Tool Purpose
imscc_build_cartridge Build .imscc from structured input (course, pages, modules, assignments, …).
imscc_example_spec Minimal JSON example for imscc_build_cartridge.
imscc_check_environment Check ruby, bundle, and canvas_cc from this repo.
imscc_canvas_cc_reference Links to canvas_cc, Populi CC import, 1EdTech.

Spec notes

  • output_directory: absolute path; created if missing.
  • course.title: required.
  • Assignments — Supported: groups, points, submission_types (e.g. online_text_entry, online_upload), due dates, HTML body. Link a rubric with rubric_identifier (must match a rubrics[].identifier), plus optional rubric_use_for_grading / rubric_hide_score_total.
  • Rubricsrubrics[] with identifier, external_identifier (defaults to identifier), title, optional points_possible, and criteria[] each with id, description, points, and ratings[] (id, description, points, criterion_id matching the criterion id).
  • Slides / decks — There is no separate “slides” type. Package files (e.g. .pptx, .pdf) under files[] with identifier, file_path (path inside the course files tree), and file_location (absolute path on the machine that runs the build). Optionally add a module item with content_type Attachment and identifierref set to the file’s identifier (see canvas_cc module item types).
  • Module items — e.g. WikiPage + identifierref matching a page identifier, or ExternalUrl + url.
  • Assignments → groupsassignment_group_identifier_ref must match an assignment group identifier.

Importer support (Canvas vs Populi vs others) varies; test imports on your LMS.

For types not yet mapped in ruby/build_cartridge.rb (quizzes, question banks, full LTI, etc.), extend the script using the canvas_cc README.

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选