What Python version is required?
Python 3.10 or higher.
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"OpenTorah-ai_mcp-sefaria-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"mcp-sefaria-server",
"--client",
"claude"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
A Model Context Protocol server that provides access to Jewish texts from the Sefaria library. It enables Large Language Models to retrieve and reference Jewish texts through a standardized interface using two main tools: get_text (fetch a specific text by reference) and get_commentaries (retrieve commentaries for a given text). Built with the MCP SDK and the Sefaria API.
Install via Smithery (npx -y @smithery/cli install mcp-sefaria-server --client claude) or clone the repository and run uv --directory path/to/directory run sefaria_jewish_library. Configure as an MCP server in clients like Claude Desktop or Cline by adding the binary command and directory to the client’s MCP configuration file.
Python 3.10 or higher.
Run `uv --directory path/to/directory run sefaria_jewish_library` from the command line, or configure it as an MCP server in a client (e.g., Claude Desktop) using the command and directory arguments.
Two tools: `get_text` (retrieve a text by reference) and `get_commentaries` (retrieve commentaries for a given reference). Both accept references in Hebrew or English.
No. The README does not mention any authentication or API keys; it uses the public Sefaria API.
Add a configuration entry under `mcpServers` with command `uv`, args including the directory and `run sefaria_jewish_library`, and the environment variable `PYTHONIOENCODING: "utf-8"` for Windows.
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