mcp-otzaria-server

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An MCP 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.

  1. Tools
  2. Prompts
  3. Resources
  4. Server Configuration
  5. README.md

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription

No tools

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

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README.md

Jewish Library MCP Server

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

git clone https://github.com/yourusername/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:

uv --directory path/to/directory run jewish_library

Or through an MCP client that supports the Model Context Protocol.

Available tools

The server provides a single tool through the MCP interface:

full_text_search

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
  • Tantivy for full-text search capabilities

Project Structure

mcp-otzaria-server/ ├── src/ │ └── jewish_library/ │ ├── server.py # Main MCP server implementation │ └── tantivy_search_agent.py # Search functionality ├── index/ # Search indices ├── pyproject.toml # Project configuration └── README.md

Requirements

  • Python >= 3.10
  • MCP SDK >= 1.1.1
  • Tantivy search engine

License

MIT License

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues with dependencies of the server.
  • Extract server characteristics such as tools, resources, prompts, and required parameters.

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Copy the following code to your README.md file:

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