Jewish Library MCP Server
by MCP-Mirror
An MCP server providing powerful search capabilities for Jewish texts and literature. It enables Large Language Models to search and reference Jewish texts through a standardized interface.
Last updated: N/A
What is Jewish Library MCP Server?
This is an MCP (Model Context Protocol) server designed to provide powerful search capabilities specifically for Jewish texts and literature. It allows Large Language Models to access and reference these texts through a standardized interface.
How to use Jewish Library MCP Server?
First, clone the repository and download the index. Then, install the dependencies using pip. The server can be run directly using the provided uv command or through an MCP client, configuring the client with the server's command and arguments.
Key features of Jewish Library MCP Server
Full-text search across Jewish texts and literature
Advanced query syntax support (field-specific, boolean operators, required/excluded terms, phrase search, wildcards)
Relevance-based scoring
Rich search results including references, topics, and highlighted excerpts
Use cases of Jewish Library MCP Server
Enabling LLMs to answer questions based on Jewish texts
Providing context for AI models working with Jewish literature
Facilitating research and study of Jewish texts
Integrating Jewish text search into other applications
FAQ from Jewish Library MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a standardized interface for accessing information.
What is Tantivy?
What is Tantivy?
Tantivy is a full-text search engine used for indexing and searching the Jewish texts.
What Python version is required?
What Python version is required?
Python 3.10 or higher is required.
How do I configure the server for Claude?
How do I configure the server for Claude?
Use the provided JSON configuration snippet, replacing 'your/path/to/directory' with the actual path to the server directory.
What kind of queries are supported?
What kind of queries are supported?
The server supports basic search, field-specific search, boolean operators, required/excluded terms, phrase search, and wildcard searches.