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Sefaria Jewish Library MCP Server

by MCP-Mirror

This is an MCP server providing access to Jewish texts from the Sefaria library. It allows Large Language Models to retrieve and reference Jewish texts through a standardized interface.

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What is Sefaria Jewish Library MCP Server?

The Sefaria Jewish Library MCP Server is a server that provides access to Jewish texts from the Sefaria library using the Model Context Protocol (MCP). It enables Large Language Models to retrieve and reference Jewish texts through a standardized interface.

How to use Sefaria Jewish Library MCP Server?

To use the server, you need to clone the repository, install the necessary dependencies (Python 3.10+, MCP SDK, Sefaria API), and run the server using the provided command or through an MCP client. Configuration examples are provided for Claude desktop app and client.

Key features of Sefaria Jewish Library MCP Server

  • Retrieves Jewish texts by reference

  • Retrieves commentaries on a given text

  • Provides a standardized interface for accessing Jewish texts

  • Supports the Model Context Protocol

Use cases of Sefaria Jewish Library MCP Server

  • Enabling LLMs to answer questions about Jewish texts

  • Providing context for LLMs when discussing Jewish topics

  • Allowing LLMs to generate content based on Jewish texts

  • Integrating Jewish texts into other applications

FAQ from Sefaria Jewish Library MCP Server

What is MCP?

MCP stands for Model Context Protocol. It's a standardized interface for providing context to Large Language Models.

What is the Sefaria API?

The Sefaria API is an API that provides access to Jewish texts from the Sefaria library.

What are the requirements for running the server?

The server requires Python 3.10 or higher, the MCP SDK, and the Sefaria API.

How do I retrieve a specific Jewish text?

You can use the 'get_text' tool through the MCP interface, providing the reference of the text you want to retrieve.

How do I retrieve commentaries for a given text?

You can use the 'get_commentaries' tool through the MCP interface, providing the reference of the text you want to retrieve commentaries for.