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ai-Bible

ai-Bible

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github.com/AdbC99Science & Education7Updated 68w ago
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About ai-Bible

ai-Bible provides repeatable access to biblical text for LLMs, for research and educational use. It includes an MCP server and a container compatible with the OpenAI completions API, so retrieved verses can be represented in different forms.

Key features

  1. 01Retrieve verses by reference
  2. 02Select a query language
  3. 03Container-based completions API
  4. 04Use with local LLMs

Use cases

  1. 01Research biblical texts and retrieve verses
  2. 02Prepare verse data for educational content
  3. 03Look up verses in local LLM workflows

MCP support

The MCP server exposes repeatable biblical verse retrieval to LLMs. The README describes configuring Claude Desktop to use it.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project 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

Logo

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/

Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue for any enhancements or bug fixes.

License

This project source code is under the GNU GPL v3 Licence. Within the project there are data files that come under different licences. See the file LICENCE.md for details of the GPL licence.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.