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ai-Bible MCP Server

MCP Server

AI-powered Bible verse retrieval for LLMs

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Updated Sep 21, 2025

About

The ai-Bible MCP Server provides reliable, repeatable access to biblical verses for large language models, enabling research and educational applications through a standardized API compatible with OpenAI completions.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Christ Landscape

Overview

The ai‑Bible MCP server bridges large language models (LLMs) and biblical scholarship by providing a reliable, repeatable interface for retrieving scripture passages. Traditional LLMs often generate text that is unverified or contextually inconsistent, which poses a problem for researchers and educators who need accurate references. This server resolves that issue by acting as an authoritative source of biblical text, ensuring that any AI assistant can pull exact verses in multiple languages and formats without the risk of hallucination.

Developers working with Claude, OpenAI-compatible APIs, or any MCP‑compliant client can integrate the server into their workflows with minimal friction. The server exposes a set of endpoints that accept standard scripture references (e.g., “Gen 1:1”) and return the corresponding verse text, optionally translated into the requested language. By encapsulating this logic in a dedicated service, developers free their main application from handling parsing rules, versioning nuances, or translation look‑ups—tasks that are notoriously error‑prone when implemented ad‑hoc.

Key capabilities include:

  • Consistent verse retrieval: The server guarantees that repeated requests for the same reference yield identical results, which is essential for reproducible research and audit trails.
  • Multilingual support: Clients can request verses in English, Hebrew, Greek, or other available translations, making the tool valuable for comparative theological studies.
  • OpenAI completions compatibility: A Dockerized wrapper exposes the same functionality through a standard OpenAI‑compatible API, enabling seamless integration with tools like Open WebUI or Ollama.
  • Extensible resource model: The underlying MCP architecture allows additional resources—such as commentaries, cross‑references, or textual annotations—to be added without altering client logic.

Real‑world use cases span academic research, sermon preparation, faith‑based app development, and educational platforms. For instance, a digital Bible study app can query the server to fetch verses on demand while maintaining strict citation accuracy. Likewise, a theological research pipeline can batch‑process references to generate datasets for natural language processing tasks, confident that the source material is verifiable.

In short, ai‑Bible offers a stand‑alone, MCP‑compliant service that transforms how developers and educators interact with biblical text. By offloading the complexity of scripture lookup to a dedicated, tested server, teams can focus on higher‑level insights and user experience while ensuring that every reference remains trustworthy and reproducible.