Jewish Library MCP Server

@Sivan22

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

Sivan22

关于 Jewish Library MCP Server

makes the jewish library accessible to LLMs through the MCP protocol

#ai#judaism#llm

Jewish Library MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-otzaria-server": {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/directory",
        "run",
        "jewish_library"
      ]
    }
  }
}

Jewish Library MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Jewish Library MCP Server?

Jewish Library MCP Server is an MCP (Model Context Protocol) server that provides powerful full‑text search capabilities for Jewish texts and literature. It enables Large Language Models to search and reference Jewish texts through a standardized interface.

How to use Jewish Library MCP Server?

Requires Python 3.10 or higher. Clone the repository, download and extract the search index from a Google Drive link, install dependencies with pip install ., then run the server using uv --directory path/to/directory run jewish_library or through any MCP client.

Key features of Jewish Library MCP Server

Full‑text search across Jewish texts and literature
Advanced query syntax: field‑specific search, boolean operators, required/excluded terms, phrase search, wildcards
Relevance‑based scoring
Rich search results with reference information, topics, and highlighted excerpts
Single MCP tool: full_text_search

Use cases of Jewish Library MCP Server

Search for specific passages by reference, topic, or textual content
Combine multiple query fields to refine searches (e.g., text + topics)
Integrate Jewish text lookup into LLM‑based applications for research or education
Perform complex searches using boolean logic and wildcards

常见问题

What query syntax does the full‑text search support?

It supports field‑specific search (`text:`, `reference:`, `topics:`), boolean operators (`AND`, `OR`), required/excluded terms (`+term`, `-term`), phrase search (`'exact phrase'`), and wildcards (`?`, `*`).

What are the runtime requirements?

Python 3.10 or higher, MCP SDK >= 1.1.1, Tantivy search engine, and a separately downloaded pre‑built search index.

How do I download the search index?

The search index is provided as a single file from a Google Drive link mentioned in the README. It must be extracted into the `index/` directory inside the project.

Where does the server store its data?

The server uses a local `index/` directory for its search indices. No external database or cloud storage is required beyond the initial index download.

Does the server support authentication or multiple transports?

No authentication mechanism or transport options beyond the standard MCP protocol are documented.

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