FlashCardMCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| create_flashcards_from_jsonA | Create interactive HTML flashcards from JSON card data. Args: cards: List of flashcard data with 'front', 'back', and optional 'tags' title: Title for the flashcard set description: Description of the flashcard set template: Template type ('minimal', 'default', 'elegant') theme: Theme ('light' or 'dark') Returns: HTML content as string |
| generate_flashcards_pdfA | Generate PDF flashcards from JSON card data. Args: cards: List of flashcard data with 'front', 'back', and optional 'tags' title: Title for the flashcard set description: Description of the flashcard set layout: Layout type ('single' or 'a4_8') output_path: Directory path to save the PDF file show_deck_name: Whether to show the title on the PDF show_card_index: Whether to show the card index on the PDF Returns: Success message with file path and size information |
| convert_csv_to_jsonA | Convert CSV content to flashcard JSON format. Args: csv_content: Raw CSV content as string front_columns: Comma-separated column indices for card front (e.g., "0,1") back_columns: Comma-separated column indices for card back (e.g., "2,3") tags_column: Column index for tags (optional) has_header: Whether CSV has header row title: Title for the flashcard set description: Description of the flashcard set column_separator: Separator for multi-column content template: Template type for styling theme: Theme for styling Returns: JSON string of complete flashcard data |
| validate_flashcard_dataC | Validate flashcard JSON data structure. Args: flashcard_json: Flashcard data in JSON format Returns: Validation result message |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| flashcard_assistant | Comprehensive flashcard generation assistant with resource querying, intent recognition, and tool recommendation capabilities. Args: user_input: User's input text describing their flashcard needs context: Context information (general, learning, teaching, sharing, printing) data_type: Type of input data (csv, json) output_preference: Preferred output format (html, pdf, auto) Returns: Complete analysis and recommendations for flashcard generation |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| get_flashcard_templates | Get available flashcard templates and their configurations. Returns: JSON string containing template information |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: creating HTML flashcards, generating PDFs, converting CSV to JSON, and validating data. No two tools overlap in function.
All tool names follow a consistent verb_noun pattern in snake_case (create_flashcards_from_json, generate_flashcards_pdf, convert_csv_to_json, validate_flashcard_data). The verbs vary but are all descriptive and the pattern is uniform.
Four tools form a well-scoped set for a flashcard generation server. Each tool serves a necessary step in the workflow without redundancy.
The toolset covers the full pipeline: importing data (convert_csv_to_json), validating it (validate_flashcard_data), and producing outputs (HTML and PDF). No obvious gaps such as missing export options or data handling steps.