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yothunder

Study Prep MCP Server

by yothunder
OverviewSchemaRelated ServersScoreDiscussions
Python
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MD_MCP_NAMENoFastMCP server namestudy-md
MD_DOCS_PATHNoRoot folder for study documents.

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_corpus_overviewA

Return categories, file counts, total size, and supported extensions in the corpus.

list_documentsA

List study documents with relative path, size, and type.

Args:
    category: Optional subfolder name (e.g. lpdp, uwa, learn)
    pattern: Optional glob matched against relative path (e.g. *.pdf, lpdp/*)
read_documentA

Read or extract text from a study document.

Args:
    relative_path: Path relative to docs root, e.g. lpdp/essay.pdf
    max_chars: Maximum characters to return (default 50000)
    page_start: PDF only — 1-based start page (0 = from beginning)
    page_end: PDF only — 1-based end page inclusive (0 = through last page)
search_documentsA

Search document text with snippet context around each match.

Args:
    query: Case-insensitive search string
    category: Optional subfolder filter
    max_results: Maximum number of matching files (default 10)
extract_key_termsB

Extract keywords from one document or an entire category using YAKE.

Args:
    relative_path: Optional single file path relative to docs root
    category: Optional category folder when relative_path is not set
    top_n: Number of terms to return (default 20)
get_document_outlineA

Return document outline from markdown headings or heading-like lines.

Args:
    relative_path: Path relative to docs root
get_study_chunksA

Split a document into numbered study-sized chunks.

Args:
    relative_path: Path relative to docs root
    chunk_chars: Target chunk size in characters (default 3000)
    overlap: Overlap between consecutive chunks (default 200)
prepare_study_sessionB

Bundle excerpts, key terms, and suggested AI prompts for a study topic.

Args:
    topic: Study topic or search query
    categories: Comma-separated category folders to search (empty = all)
    paths: Comma-separated relative file paths to include directly
    max_chars: Maximum total characters in the bundle (default 12000)
get_quiz_source_materialB

Return labeled excerpts and instructions for generating practice Q&A.

Args:
    relative_path: Optional single file path relative to docs root
    topic: Optional search topic when relative_path is not set
    num_excerpts: Number of excerpts to include (default 5)

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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