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Jewish Library MCP Server

@Sivan22

代码仓库

关于 Jewish Library MCP Server

makes the jewish library accessible to LLMs through the MCP protocol

#ai#judaism#llm

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"
      ]
    }
  }
}

工具

未检测到工具

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

FAQ from Jewish Library MCP Server

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.

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.

评论

基本信息

分类

开发工具

传输方式

stdio

作者

Sivan22

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