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
Basic information
Fetch and read Jewish texts through the API of Sefaria.org
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-sefaria-server": {
"command": "uv",
"args": [
"--directory",
"path/to/directory",
"run",
"sefaria_jewish_library"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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