# Jewish Library

> Use this tool when you need to integrate Jewish texts into AI assistants or provide insights from religious texts, as it offers a search interface for accessing a library of Jewish literature and enables AI systems to reason about and respond to queries related to Jewish texts and traditions. It solves problems such as accessing Jewish knowledge, assisting with religious study, and analyzing themes across different works. With a simple search interface as input, it outputs relevant information and insights from a curated collection of Jewish texts.

Canonical page: https://skillsregistry.net/skills/sivan22-jewish-library  
JSON: https://api.skillsregistry.net/v1/skills/sivan22-jewish-library

## Description

This MCP server, developed for integrating Jewish texts into AI assistants, provides a search interface for accessing a library of Jewish literature. It utilizes the Tantivy search engine for efficient full-text search capabilities and integrates with a curated collection of Jewish texts. The server's structure, defined in pyproject.toml, allows for easy deployment and scalability. By connecting AI capabilities with Jewish literature, this implementation enables assistants to provide insights from religious texts, answer questions about Jewish law and philosophy, or analyze themes across different works. It is particularly useful for applications requiring access to Jewish knowledge, religious study assistance, or any scenario where an AI system needs to reason about and respond to queries related to Jewish texts and traditions.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sivan22-jewish-library)
- **Repository:** <https://github.com/sivan22/mcp-otzaria-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sivan22-jewish-library"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sivan22-jewish-library` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sivan22-jewish-library/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt