mcp-sefaria-server
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Python
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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.
Features
- Retrieve Jewish texts by reference
- Retrieve commentaries on a given text
- Search the Jewish library for a query
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",
"absolute/path/to/mcp-sefaria-server",
"run",
"sefaria_jewish_library"
],
"env": {
"PYTHONIOENCODING": "utf-8"
}
}
}
}
Installing via Smithery
To install Sefaria Jewish Library for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install mcp-sefaria-server --client claude
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"
search_texts
Searches for Jewish texts in the Sefaria library based on a query.
Example:
query: "moshiach"
slop: 1
filters: ["Talmud", "Bavli"]
size: 5
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
Publisher info
Sivan Ratson
An Avrech with a big passion for technology. Curious about the power of tech to improve tora study.