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- Sivan22_mcp-sefaria-server
Sivan22 Mcp Sefaria Server
What is Sivan22 Mcp Sefaria Server
Sivan22_mcp-sefaria-server is an MCP (Model Context Protocol) server that provides access to Jewish texts from the Sefaria library, enabling Large Language Models to retrieve and reference these texts through a standardized interface.
Use cases
Use cases include integrating Jewish texts into applications, providing educational resources for students of Jewish studies, and supporting research in religious texts.
How to use
To use Sivan22_mcp-sefaria-server, clone the repository from GitHub, navigate to the directory, and run the server using the command ‘uv --directory path/to/directory run sefaria_jewish_library’. Alternatively, configure an MCP client to connect to the server.
Key features
Key features include the ability to retrieve Jewish texts by reference and access commentaries on specific texts.
Where to use
Sivan22_mcp-sefaria-server can be used in educational, religious, and research contexts where access to Jewish texts is required.
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 Sivan22 Mcp Sefaria Server
Sivan22_mcp-sefaria-server is an MCP (Model Context Protocol) server that provides access to Jewish texts from the Sefaria library, enabling Large Language Models to retrieve and reference these texts through a standardized interface.
Use cases
Use cases include integrating Jewish texts into applications, providing educational resources for students of Jewish studies, and supporting research in religious texts.
How to use
To use Sivan22_mcp-sefaria-server, clone the repository from GitHub, navigate to the directory, and run the server using the command ‘uv --directory path/to/directory run sefaria_jewish_library’. Alternatively, configure an MCP client to connect to the server.
Key features
Key features include the ability to retrieve Jewish texts by reference and access commentaries on specific texts.
Where to use
Sivan22_mcp-sefaria-server can be used in educational, religious, and research contexts where access to Jewish texts is required.
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.
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.










