S
Sivan22/mcp-otzaria-server
Jewish library texts for a model
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
我们没有从该仓库取到可核对的安装命令,也没有公开的远端端点。这两样都没有时,我们不出配置——编一条出来比不给更糟。 各客户端的接法 →
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- 收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
- 收录与活跃
- 收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
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- 综合分 1,003 · 10 个来源 · mcp
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谁维护它、还在更新吗?
我们收录于 2026-11-05;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
# Jewish Library MCP Server
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
An MCP (Model Context Protocol) server that provides powerful search capabilities for Jewish texts and literature. This server enables Large Language Models to search and reference Jewish texts through a standardized interface.
## Features
Full-text search across Jewish texts and literature
Advanced query syntax support:
Field-specific search (text:term, reference:term, topics:term)
Boolean operators (AND, OR)
Required/excluded terms (+term, -term)
Phrase search ('exact phrase')
Wildcards (?, )
Relevance-based scoring
Rich search results including references, topics, and highlighted excerpts
## Installation
Requires Python 3.10 or higher.
### Clone the repository
bash
git clone https://github.com/sivan22/mcp-otzaria-server.git
cd mcp-otzaria-server
### Get the index
download and extract the index from here
### Install dependencies
pip install .
## Running the Server
The server can be run directly:
bash
uv --directory path/to/directory run jewishlibrary
Or through an MCP client that supports the Model Context Protocol.
for claude desktop app and cline you should use the following config:
"mcpServers": {
"jewishlibrary": {
"command": "uv",
"args": [
"--directory",
"your/path/to/directory",
"run",
"jewishlibrary"
],
"env": {
"PYTHONIOENCODING": "utf-8"
## Available tools
The server provides a single tool through the MCP interface:
### fulltextsearch
Performs a full-text search across the Jewish library with advanced query capabilities.
Example query formats:
# Basic search
"maimonides on prayer"
# Field-specific search
text:"love your neighbor" AND topics:mitzvot
# Required terms
+shabbat +candles
# Phrase search with topic filter
"four species" AND topics:sukkot
# Wildcard search
pray AND reference:psalms
Search results include:
Reference information
Relevant topics
Highlighted excerpts showing query matches
Relevance score
## Development
This project uses:
MCP SDK for server implementation
## Features
Full-text search across Jewish texts and literature
Advanced query syntax support:
Field-specific search (text:term, reference:term, topics:term)
Boolean operators (AND, OR)
Required/excluded terms (+term, -term)
Phrase search ('exact phrase')
Wildcards (?, )
Relevance-based scoring
Rich search results including references, topics, and highlighted excerpts
## Installation
Requires Python 3.10 or higher.
### Clone the repository
bash
git clone https://github.com/sivan22/mcp-otzaria-server.git
cd mcp-otzaria-server
### Get the index
download and extract the index from here
### Install dependencies
pip install .
## Running the Server
The server can be run directly:
bash
uv --directory path/to/directory run jewishlibrary
Or through an MCP client that supports the Model Context Protocol.
for claude desktop app and cline you should use the following config:
"mcpServers": {
"jewishlibrary": {
"command": "uv",
"args": [
"--directory",
"your/path/to/directory",
"run",
"jewishlibrary"
],
"env": {
"PYTHONIOENCODING": "utf-8"
## Available tools
The server provides a single tool through the MCP interface:
### fulltextsearch
Performs a full-text search across the Jewish library with advanced query capabilities.
Example query formats:
# Basic search
"maimonides on prayer"
# Field-specific search
text:"love your neighbor" AND topics:mitzvot
# Required terms
+shabbat +candles
# Phrase search with topic filter
"four species" AND topics:sukkot
# Wildcard search
pray AND reference:psalms
Search results include:
Reference information
Relevant topics
Highlighted excerpts showing query matches
Relevance score
## Development
This project uses:
MCP SDK for server implementation
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