Mcp Study Prep — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Mcp Study Prep (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
MCP tools to browse and prepare study materials from a local document folder — PDF, Markdown, plain text, and Word files.
The server extracts text and structure locally; your MCP client (e.g. Cursor) generates summaries and practice questions from the returned content.
| Tool | What it does |
|---|---|
get_corpus_overview | Categories, file counts, sizes, supported extensions |
list_documents | List files with optional category or glob filter |
read_document | Read or extract text from one file (PDF page range supported) |
search_documents | Full-text search with snippet context |
extract_key_terms | Keyword extraction via YAKE (one doc or whole category) |
get_document_outline | Headings / outline for structured review |
get_study_chunks | Split long docs into numbered study chunks |
prepare_study_session | Bundle excerpts, key terms, and AI prompts for a topic |
get_quiz_source_material | Labeled excerpts + instructions for Q&A generation |
git clone https://github.com/YOUR_ORG/study-md-mcp.git
cd study-md-mcp
python3 -m venv .venv
source .venv/bin/activate
pip install -e .
# Smoke test on stdio (Ctrl+C to stop)
MD_DOCS_PATH=/path/to/your/study-documents python server.pyOr with uv:
git clone https://github.com/YOUR_ORG/study-md-mcp.git
cd study-md-mcp
uv venv && uv pip install -e .
MD_DOCS_PATH=/path/to/your/study-documents uv run server.py| Variable | Default | Purpose |
|---|---|---|
MD_MCP_NAME | study-md | FastMCP server name |
MD_DOCS_PATH | . | Root folder for study documents |
Set MD_DOCS_PATH to the folder containing your study files. On WSL with Windows files, use the /mnt/c/... path.
Copy examples/cursor-mcp-config.json and adjust paths:
{
"mcpServers": {
"study-md": {
"command": "/path/to/study-md-mcp/.venv/bin/python",
"args": ["/path/to/study-md-mcp/server.py"],
"env": {
"MD_MCP_NAME": "study-md",
"MD_DOCS_PATH": "/path/to/your/study-documents"
}
}
}
}Then ask Cursor to use study-md tools, e.g. “Search my study docs for essay requirements” or “Prepare a study session on offer terms.”
If Claude Desktop runs on Windows but documents live in WSL, see examples/claude-desktop-config.json.
claude mcp add study-md \
-e MD_MCP_NAME=study-md \
-e MD_DOCS_PATH=/path/to/your/study-documents \
-- /path/to/study-md-mcp/.venv/bin/python /path/to/study-md-mcp/server.py| Extension | Method |
|---|---|
.md, .txt | Direct UTF-8 read |
.pdf | Text extraction via PyMuPDF |
.docx | Paragraph text via python-docx |
Scanned/image-only PDFs are not supported (no OCR).
Organize files under MD_DOCS_PATH by category subfolder:
study-documents/
├── notes/
├── exams/
├── essays/
└── reference/Empty category folders appear in get_corpus_overview with count 0.
MIT — see LICENSE.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.