Study the Bible in its original languages, trace themes across both testaments, and compare five tra
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-mctx-ai-bible-study": {
"command": "<see-readme>",
"args": []
}
}
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A complete scholarly Bible study toolkit — semantic search, original-language word studies, translation comparison, cross-reference traversal, and topical research — available as AI-native tools for the first time.
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A complete scholarly Bible study toolkit — semantic search, original-language word studies, translation comparison, cross-reference traversal, and topical research — available as AI-native tools for the first time.
Without this server, deep Bible study means juggling multiple browser tabs: a concordance site here, a lexicon there, a translation comparison tool somewhere else. You lose the thread of your research every time you switch. This server brings all of that into your AI assistant, where each result informs the next question and the entire study session stays in one conversation.
Most AI assistants answer Bible questions from training data alone — approximations drawn from whatever made it into the model. This server gives your assistant access to structured scholarly data that no training set contains: 17,543 Strong's entries with full BDB and Thayer lexicon definitions, morphological parsing for 447,734 individual words, the complete OpenBible cross-reference dataset, and Nave's 5,319 topical categories. When you ask about the Greek word for grace or the cross-references for John 3:16, the answer comes from the primary sources — not a paraphrase of them.
Semantic search across 155,510 verses. Describe a concept in plain language and receive passages that match the meaning, not just the exact keywords. "God's faithfulness despite human failure" finds relevant passages even when those words never appear together.
Topical research with curated context. For "what does the Bible say about X?" questions, topical search combines Nave's curated index with semantic search and returns something richer: individual verses with source attribution, plus major biblical witnesses — the books and narratives that are the Bible's principal treatments of your topic (such as Job for suffering, or the Psalms for lament). Each witness includes an explanation of why that book matters for your topic, the specific themes it addresses, and suggested anchor passages to begin reading. Semantic search finds similar verses; topical search tells you where the Bible speaks most deeply on a subject and why.
Original-language word studies. Look up any word in its Hebrew or Greek original. Get the Strong's number, transliteration, full BDB or Thayer lexicon definition, morphological parsing, and every other verse where that same word appears — all in one response.
Five translations side by side. Compare any verse or passage in KJV, WEB, ASV, YLT, and Darby simultaneously. See at a glance where translations agree and where meaningful differences in word choice appear.
606,140 cross-references. For any verse, find the other passages that illuminate, echo, or expand on the same idea. Trace how a theme develops across both testaments without losing your place.
Nave's Topical Bible with 5,319 categories. Research what the Bible says about patience, covenant, prayer, or any of thousands of subjects, persons, and themes. Each topic connects to curated verse associations organized by the editors of Nave's original index.
Full-text keyword search. Search for an exact word or phrase across all translations or a specific one, from Genesis to Revelation. Results come back in canonical order.
When you ask a Bible study question, the server queries a purpose-built database and returns structured data your AI assistant can reason about directly. The AI gets facts and definitions, not HTML pages it has to summarize.
Seven capabilities work together: meaning-based verse discovery, curated thematic research with major witnesses, keyword search, word frequency across books, side-by-side translation rendering, passage-to-passage connections, and original-language deep dives.
Because each query returns structured data, the tools chain naturally in a single conversation. You can find a passage semantically, compare how all five translations render