Access Biblical Texts Reliably
MCP server that provides reliable, repeatable Bible verse lookup for AI assistants, supporting multiple languages and references for biblical research and
Why it matters
Integrate reliable and reproducible biblical text lookup into your AI/LLM applications. This MCP server ensures consistent results for interpretation, research, and educational purposes.
Outcomes
What it gets done
Retrieve biblical verses by reference and language
Deploy as a Docker container for OpenAI compatibility
Integrate with Claude Desktop via MCP
Access API documentation via Swagger UI
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-ai-bible | bash Capabilities
Tools your agent gets
Retrieve biblical verses by reference and language
Overview
ai-Bible MCP Server
What it does
A Model Context Protocol server for repeatedly and reliably retrieving Bible verses when using Large Language Models, with support for multiple deployment modes including Claude Desktop integration and Docker containerization.
How it connects
Use this connector when you need to look up biblical text by reference in AI workflows, whether for research, educational applications, or building tools that require reproducible scripture retrieval across different languages.
Source README
ai-Bible
ai-Bible is a project that explores the use of AI within a context of interpreting and understanding biblical text. This repository contains mcp-servers and a container for compatibility with the openai completions API that support an AI or Large Language Model reliably and repeatably lookup data so that it can be represented in different forms for research or educational purposes with some confidence that results will be reproducable and reasonable.
For web accessible front end as a pocket bible see http://ai-bible.com
mcp-server for Claude etc
The mcp-server contains the current implementation of a server for repeatedly and reliably retrieving bible verses when using LLMs. Claude Desktop can be configured to use the mcp-server.stdio.js file built in the build folder of this project as an mcp-server.
See the README.md in that subfolder for detailed information.
docker-container for completions
The docker container wraps the mcp server up using mcpo in order to turn it into server supporting the openai completions api. Run these commands from the project root after building the mcp-server.
docker build -f completions/Dockerfile -t mcp-server .
docker run -p 8002:8000 mcp-server
You can check it is running be checking the swagger api page:
http://localhost:8002/docs
Try the get-verse api with parameters:
{
"reference": ["Gen.1.1", "Gen.2.1"],
"language": "english"
}
One way to access the completions api is via Open WebUI and then you can do everything locally with a LLM via Ollama with a model such as llama 3.1 8b, see:
https://docs.openwebui.com/getting-started/quick-start/
Discussion
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