studybible-tamil-mcp
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- AlicenseNot gradedqualityCmaintenanceEnables local reading, searching, and scholarly study of the Bible through MCP tools, including passage lookup, literal search, topical research, word study, related-passage discovery, passage comparison, and corpus overviews.59 npmMIT
- AlicenseBqualityDmaintenanceProvides Hebrew & Greek word study, full morphological parsing, cross-references, LXX alignment, and more from open-licensed data sources, usable by any MCP-compatible client.9MIT
- AlicenseAqualityCmaintenanceEnables deep Bible study through tools for original language lexicons, morphological analysis, cross-references, and contextual notes.2187MIT
- AlicenseAqualityDmaintenanceProvides comprehensive Biblical research tools including scripture lookup, interlinear Greek/Hebrew data, and Strong's concordance within a Protestant theological framework. It enables AI applications to perform full-text biblical searches, topical studies, and cross-referencing using authoritative theological data.MIT
- FlicenseNot gradedqualityAmaintenanceAn MCP server for Christian scholarship and research, providing read-only access to a SQLite corpus of 66-book BSB and 83-book WEB Bibles, original-language Greek/Hebrew word studies with Strong's and morphology, cross-references, patristic citations (Irenaeus, Justin Martyr, Apostolic Fathers), verse alignments, semantic and hybrid search over ~55,800 embeddings, and multi-work passage retrieval, interlinear lookup, and research-brief synthesis prompts.3-
- AlicenseNot gradedqualityDmaintenanceProvides access to the Tamil Roman Catholic Bible and daily devotional content (daily verse, Mass readings, saint of the day, promise-box verses, daily quiz) as tools for AI assistants.10 npmMIT
TDQS
Scored across 22 tools
Most tools target distinct data sources or operations, but a few boundaries require reading descriptions: lookup_verse vs graph_enriched_search, people_in_passage vs graph_enriched_search, and word_study vs search_lexicon vs search_by_strongs. The descriptions mitigate this with explicit 'Related tools' guidance and scope notes.
All names use snake_case, but the verb pattern is mixed (get_, lookup_, search_, explore_, find_, parse_) and a few are noun phrases such as word_study and people_in_passage. The naming is readable but not a predictable verb_noun convention throughout.
22 tools is on the high side for a single MCP server, but each maps to a distinct Bible-study dataset or operation rather than redundant functionality. Reasonable for a comprehensive study Bible, though a tighter grouping could reduce surface area.
The surface covers verse lookup, original languages, lexicons, morphology, cross-references, semantic parallels, dictionaries, ANE and theology background, genealogies, people/place/event exploration, textual variants, and Tamil full-text search. No obvious dead ends for a study Bible domain.