Sefaria Jewish Library MCP Server
by MCP-Mirror
An MCP 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.
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What is Sefaria Jewish Library MCP Server?
This server is an MCP (Model Context Protocol) server designed to provide Large Language Models with access to the Sefaria library, a digital collection of Jewish texts. It allows LLMs to retrieve and reference specific texts and commentaries.
How to use Sefaria Jewish Library MCP Server?
The server can be installed via Smithery or by cloning the repository and running it directly using the provided command. It can also be used through an MCP client by configuring the client with the server's command and arguments, as shown in the example configuration for Claude Desktop.
Key features of Sefaria Jewish Library MCP Server
Retrieve Jewish texts by reference
Retrieve commentaries on a given text
Standardized MCP interface
Access to Sefaria API
Use cases of Sefaria Jewish Library MCP Server
Providing context to LLMs for answering questions about Jewish texts
Enabling LLMs to generate content based on Jewish sources
Facilitating research and study of Jewish texts using LLMs
Integrating Jewish texts into AI-powered educational tools
FAQ from Sefaria Jewish Library MCP Server
What is the Sefaria API?
What is the Sefaria API?
The Sefaria API is a service that provides access to Jewish texts in a structured format.
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a standardized interface for LLMs to access external data sources.
What versions of Python are supported?
What versions of Python are supported?
Python 3.10 or higher is required.
How do I install the server?
How do I install the server?
You can install it via Smithery or by cloning the repository and running the server using the provided commands.
What tools are available through the MCP interface?
What tools are available through the MCP interface?
The server provides 'get_text' for retrieving specific texts and 'get_commentaries' for retrieving commentaries on a given text.