What data formats does Flashcardgenerator accept?
It accepts JSON and CSV input. The `convert_csv_to_json` tool transforms CSV content into the required JSON flashcard format.
@Moonzhang
A FastMCP-based MCP server for converting JSON-formatted Markdown content into interactive flashcard pages.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"FlashcardGenerator": {
"command": "uv",
"args": [
"--directory",
"/path/to/FlashCardMCP",
"run",
"/server.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Flashcardgenerator is an MCP service built on FastMCP that converts JSON or CSV formatted Markdown content into interactive flashcard HTML pages. It also supports generating printable PDF flashcards (8‑card layout). The service is designed for learning, teaching, knowledge management, and any scenario where users want to create digital flashcard sets.
Install dependencies with uv sync or pip install -e ., then run the server with python server.py. The MCP server uses the STDIO transport protocol and is compatible with MCP clients like Claude Desktop. The server exposes resources and tools that can be invoked through the MCP protocol.
It accepts JSON and CSV input. The `convert_csv_to_json` tool transforms CSV content into the required JSON flashcard format.
Python with FastMCP installed. Dependencies are managed via `uv sync` or `pip install -e .`.
HTML flashcard content is returned as a string. For PDF export, you must specify an `output_path` directory where the PDF file will be saved.
The server uses STDIO transport by default, compatible with MCP clients such as Claude Desktop.
The Listen template’s speech functionality uses the Web Speech API, which may have variable quality across browsers. The project is under active development; more templates and an online demo are planned.

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