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A local MCP server for referencing course files from a configured classes directory, allowing listing courses and their files safely.

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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_DIR from .env or the process environment.
  • Restricts file access to paths inside ROOT_DIR.
  • Provides a FileService for safe file reads.
  • Provides a CourseService for course/file listing and searching.
  • Exposes an MCP tool:
    • list-courses: lists the top-level course directories under ROOT_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

from github.com/mkslge/course-mcp

Install Course in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install course-mcp

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add course-mcp -- uvx --from git+https://github.com/mkslge/course-mcp course-mcp

FAQ

Is Course MCP free?

Yes, Course MCP is free — one-click install via Unyly at no cost.

Does Course need an API key?

No, Course runs without API keys or environment variables.

Is Course hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Course in Claude Desktop, Claude Code or Cursor?

Open Course on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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