What tools does the server provide?
It provides two MCP tools: `get_text` to retrieve the text of a given reference, and `get_commentaries` to retrieve a list of commentaries for that reference.
@MCP-Mirror
基本情報
Mirror of
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"Sivan22_mcp-sefaria-server": {
"command": "uv",
"args": [
"--directory",
"path/to/directory",
"run",
"sefaria_jewish_library"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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 and their commentaries through a standardized interface. This server is intended for developers who want to integrate Jewish textual sources into AI-driven applications.
Clone the repository, ensure Python 3.10 or higher is installed, then run uv --directory path/to/directory run sefaria_jewish_library. For use with MCP clients like Claude Desktop App or Cline, add the provided JSON configuration to the client's MCP settings. The server exposes two tools: get_text and get_commentaries, each accepting a reference parameter (e.g., "Genesis 1:1" or Hebrew references like "שמות פרק ב פסוק ג").
It provides two MCP tools: `get_text` to retrieve the text of a given reference, and `get_commentaries` to retrieve a list of commentaries for that reference.
References can be in English (e.g., "Genesis 1:1") or in Hebrew (e.g., "שמות פרק ב פסוק ג" or "משנה ברכות פרק א משנה א").
Python 3.10 or higher, MCP SDK version 1.1.1 or later, and the Sefaria API library.
Add the following to your MCP client configuration: ```json { "mcpServers": { "sefaria_jewish_library": { "command": "uv", "args": ["--directory", "C:/dev/mcp-sefaria-server", "run", "sefaria_jewish_library"], "env": { "PYTHONIOENCODING": "utf-8" } } } } ```
All text data is sourced from the Sefaria library via the Sefaria API.

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