Overview
ai-Bible's MCP server provides a current implementation for repeatedly and reliably retrieving Bible verses when using large language models. It is part of a project that explores AI in interpreting biblical text and includes a container for compatibility with the OpenAI completions API, enabling research- and education-focused workflows to look up data in consistent formats. The server is designed to support Claude Desktop via the mcp-server.stdio.js wrapper found in the build folder, allowing Claude to connect as an MCP server. A Docker container wraps the MCP server with mcpo to expose an API compatible with OpenAI's completions API. The repository exposes a Swagger UI at /docs for API exploration and includes a get-verse endpoint that accepts an array of references and a language parameter (e.g., English). The project emphasizes reproducibility and reasonable results for educational and research purposes, with front-end access via ai-bible.com and guidance for local workflows using Open WebUI and Ollama with models like LLama 3.1 8B.
Features
Reliable verse retrieval for LLMs
Current MCP server implementation enables repeated and reliable fetching of Bible verses for use with large language models.
Claude Desktop integration
Can be configured to run as an MCP server with Claude Desktop via mcp-server.stdio.js.
Dockerized completions API wrapper
Docker container wraps the MCP server to expose an OpenAI-completions-like API via mcpo.
Swagger API documentation
Swagger UI is available at /docs for API exploration and testing.
Get-verse endpoint with multiple references and language
Endpoint accepts an array of verse references and a language parameter for flexible lookups.
Open WebUI and Ollama workflow guidance
Documentation and guidance for using Open WebUI and local LLMs (e.g., Ollama with LLama 3.1 8B) for local operation.
Web front end access
Public web front end is available at ai-bible.com for exploring the project.
Who Is This For?
- Researchers:Use the MCP server to retrieve Bible verses reliably for evaluation and reproducible experiments with LLMs.
- Educators:Provide students with consistent verse lookups for AI-assisted biblical interpretation and study.
- Developers / LLM integrators:Connect the MCP server to Claude Desktop, OpenAI-like completions APIs, or local LLM stacks (via Open WebUI and Ollama).
