Course
БесплатноНе проверенA local MCP server for referencing course files from a configured classes directory, allowing listing courses and their files safely.
Описание
A local MCP server for referencing course files from a configured classes directory, allowing listing courses and their files safely.
README
course-mcp is a local Python MCP server for referencing course files from a
configured classes directory.
The project is currently focused on listing available courses and building the service layer needed to browse course files safely.
Current Features
- Loads
ROOT_DIRfrom.envor the process environment. - Restricts file access to paths inside
ROOT_DIR. - Provides a
FileServicefor safe file reads. - Provides a
CourseServicefor course/file listing and searching. - Exposes an MCP tool:
list-courses: lists the top-level course directories underROOT_DIR.list-course-files: lists the direct files inside a course directory.search-course-file: searches one UTF-8 text or text-extractable PDF file within a course using case-insensitive literal matching.
search-course-file requires course_title, a course-relative file_path, and
a non-empty keyword. It optionally accepts context_lines (default 3, maximum
20) and max_results (default 20, maximum 100). Search results are returned as
JSON with matching line numbers and merged context excerpts. PDF results also
identify the one-based page containing each excerpt. Scanned PDFs require OCR
and are not supported.
Project Layout
src/course_mcp/
server.py MCP server boundary
config/ environment/config loading
services/
file_service.py safe filesystem access
course_service.py course-oriented operations
models/ simple data models
tests/ pytest tests
skills/ project-specific agent skills
Configuration
Create a .env file at the project root:
ROOT_DIR="/Users/markseeliger/Desktop/Classes/UMD"
ROOT_DIR must point to an existing directory. Each direct child directory is
treated as a course.
You can also pass ROOT_DIR directly through the environment instead of using
.env.
Run Locally
From this project directory:
uv run course-mcp
Because MCP servers run over stdio, they are usually launched by an MCP client rather than run directly by hand.
Install In Codex
Register the server with Codex:
codex mcp add course-mcp \
--env ROOT_DIR=/Users/markseeliger/Desktop/Classes/UMD \
-- uv --directory /Users/markseeliger/Desktop/Coding/create-python-server/course_mcp run course-mcp
Verify the registration:
codex mcp get course-mcp
Or refresh the registration with the project script:
ROOT_DIR=/Users/markseeliger/Desktop/Classes/UMD ./scripts/update_mcp_server.sh
If you change MCP tools, restart Codex or start a new Codex session so the tool list is reloaded.
Development
Run the test suite:
uv run pytest
Run a compile check:
python3 -m compileall src/course_mcp tests
Debug with MCP Inspector:
npx @modelcontextprotocol/inspector uv --directory /Users/markseeliger/Desktop/Coding/create-python-server/course_mcp run course-mcp
Установка Course
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/mkslge/course-mcpFAQ
Course MCP бесплатный?
Да, Course MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Course?
Нет, Course работает без API-ключей и переменных окружения.
Course — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Course в Claude Desktop, Claude Code или Cursor?
Открой Course на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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