What are the runtime requirements?
Python 3.10 or higher is required. The project uses the MCP SDK (>=1.1.1) and the Sefaria API.
@Sivan22
基本信息
Fetch and read Jewish texts through the API of Sefaria.org
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-sefaria-server": {
"command": "uv",
"args": [
"--directory",
"path/to/directory",
"run",
"sefaria_jewish_library"
]
}
}
}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。
The Sefaria Jewish Library MCP Server is a Model Context Protocol (MCP) server that provides access to Jewish texts from the Sefaria library. It enables Large Language Models to retrieve and reference Jewish texts through a standardized interface, intended for developers and users who want to integrate Jewish textual resources into AI-driven applications.
Requires Python 3.10 or higher. Clone the repository, then run with uv --directory path/to/directory run sefaria_jewish_library. For Claude Desktop or Cline, add the server configuration as shown in the README. Can also be installed automatically via Smithery using npx -y @smithery/cli install mcp-sefaria-server --client claude. Once running, the server exposes four MCP tools.
Python 3.10 or higher is required. The project uses the MCP SDK (>=1.1.1) and the Sefaria API.
Clone the repository, then run via `uv` or configure it in an MCP client (e.g., Claude Desktop) using the provided JSON configuration. You can also use Smithery for automatic installation.
All texts are retrieved live from the Sefaria API; no local database is used. The server queries Sefaria’s public API endpoints.
There are four tools: `get_text` (retrieve a text by reference), `get_commentaries` (get commentaries for a given reference), `search_texts` (search the library by query), and `get_daily_learnings` (return the daily or weekly learning schedule).
No authentication is required. For the `get_daily_learnings` tool, you can optionally specify parameters like `diaspora`, `custom`, `year`, `month`, `day`, and `timezone` to customize the schedule returned.

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