- Explore MCP Servers
- OpenTorah-ai_mcp-sefaria-server
Opentorah Ai Mcp Sefaria Server
What is Opentorah Ai Mcp Sefaria Server
OpenTorah-ai_mcp-sefaria-server is an MCP server that provides access to Jewish texts from the Sefaria library, allowing Large Language Models to retrieve and reference these texts through a standardized interface.
Use cases
Use cases include developing applications for studying Jewish texts, integrating with chatbots for educational purposes, and providing resources for scholars and students in Jewish studies.
How to use
To use OpenTorah-ai_mcp-sefaria-server, you can install it via Smithery or clone the repository from GitHub. After installation, run the server using the specified commands or configure it with an MCP client that supports the Model Context Protocol.
Key features
Key features include the ability to retrieve Jewish texts by reference and access commentaries on specific texts.
Where to use
OpenTorah-ai_mcp-sefaria-server can be used in educational settings, research institutions, and applications that involve Jewish studies or textual analysis.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Opentorah Ai Mcp Sefaria Server
OpenTorah-ai_mcp-sefaria-server is an MCP server that provides access to Jewish texts from the Sefaria library, allowing Large Language Models to retrieve and reference these texts through a standardized interface.
Use cases
Use cases include developing applications for studying Jewish texts, integrating with chatbots for educational purposes, and providing resources for scholars and students in Jewish studies.
How to use
To use OpenTorah-ai_mcp-sefaria-server, you can install it via Smithery or clone the repository from GitHub. After installation, run the server using the specified commands or configure it with an MCP client that supports the Model Context Protocol.
Key features
Key features include the ability to retrieve Jewish texts by reference and access commentaries on specific texts.
Where to use
OpenTorah-ai_mcp-sefaria-server can be used in educational settings, research institutions, and applications that involve Jewish studies or textual analysis.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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.
Features
- Retrieve Jewish texts by reference
- Retrieve commentaries on a given text
Installation
Requires Python 3.10 or higher.
Installing via Smithery
To install Sefaria Jewish Library for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install mcp-sefaria-server --client claude
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:
- MCP SDK for server implementation
- Sefaria API for accessing Jewish texts
Requirements
- Python >= 3.10
- MCP SDK >= 1.1.1
- Sefaria API
License
MIT License
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










