mcp-otzaria-server is an MCP (Model Context Protocol) server that makes the Jewish library accessible to Large Language Models (LLMs) through a standardized interface. It provides powerful search capabilities for Jewish texts and literature, including full-text search, advanced query syntax support, relevance-based scoring, and rich search results with references, topics, and highlighted excerpts.
mcp-otzaria-server was created to enable LLMs to efficiently search and reference Jewish texts by providing a robust, standardized interface using the MCP protocol. Its purpose is to bridge the gap between AI models and Jewish literary resources, making them more accessible for research, analysis, and learning.
mcp-otzaria-server was developed by Sivan22, as indicated in the repository information. The project is hosted on GitHub under the username Sivan22.
mcp-otzaria-server can be accessed and installed by cloning its repository from GitHub using the command `git clone https://github.com/sivan22/mcp-otzaria-server.git`. After installation, it requires Python 3.10 or higher and dependencies such as the MCP SDK and Tantivy search engine.
mcp-otzaria-server should be used when there is a need to integrate Jewish texts and literature into AI workflows or applications powered by LLMs. It is particularly useful for researchers, developers, and institutions working with Jewish studies or religious texts.
To run mcp-otzaria-server, you need Python 3.10 or higher, the MCP SDK (version 1.1.1 or above), and the Tantivy search engine. Additionally, you must download and extract the index files required for the server to function properly.
You can run the server directly using the command `uv --directory path/to/directory run jewish_library`. Alternatively, you can configure it through an MCP client by specifying the server settings in a JSON configuration file.
mcp-otzaria-server supports various query formats, including basic searches, field-specific searches (e.g., text:term, reference:term), Boolean operators (AND, OR), required/excluded terms (+term, -term), phrase searches ('exact phrase'), and wildcard searches (?, *).
Yes, mcp-otzaria-server is open-source and distributed under the MIT License. This allows users to freely use, modify, and distribute the software while adhering to the license terms.
mcp-otzaria-server is written entirely in Python, as indicated by the language breakdown in the repository details.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.