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2024-12-24

Espejo dehttps: //github.com/sivan22/mcp-sefaria-server

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Sefaria Jewish Library MCP Server

An MCP (Model Context Protocol) server that provides access to Jewish texts from the Sefaria library. This server enables Large Language Models to retrieve and reference Jewish texts through a standardized interface.

Sefaria Jewish Library Server MCP server

Features

  • Retrieve Jewish texts by reference
  • Retrieve commentaries on a given text

Installation

Requires Python 3.10 or higher.

Clone the repository

git clone https://github.com/sivan22/mcp-sefaria-server.git
cd mcp-sefaria-server

Running the Server

The server can be run directly:

uv --directory path/to/directory run sefaria_jewish_library

Or through an MCP client that supports the Model Context Protocol. for claude desktop app and cline you should use the following config:

{
  "mcpServers": {        
      "sefaria_jewish_library": {
          "command": "uv",
          "args": [
              "--directory",
              "C:/dev/mcp-sefaria-server",
              "run",
              "sefaria_jewish_library"
          ],
          "env": {
            "PYTHONIOENCODING": "utf-8" 
          }
      }
  }
}

Available tools

The server provides the following tools through the MCP interface:

get_text

Retrieves a specific Jewish text by its reference.

Example:

reference: "Genesis 1:1"
reference: "שמות פרק ב פסוק ג"
reference: "משנה ברכות פרק א משנה א"

get_commentaries

Retrieves a list of commentaries for a given text.

Example:

reference: "Genesis 1:1"
reference: "שמות פרק ב פסוק ג"
reference: "משנה ברכות פרק א משנה א"

Development

This project uses:

Requirements

  • Python >= 3.10
  • MCP SDK >= 1.1.1
  • Sefaria API

License

MIT License

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    Reviews

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    user_Om2LoDkd
    2025-04-15

    The MCP Weather Server by Samarth2001 is a game-changer for real-time weather updates. Featuring a user-friendly interface and reliable data, it seamlessly integrates into various applications. The constant updates and accuracy make it indispensable for developers. Highly recommended for anyone needing a robust weather API!