The tools form five complementary families: retrieval & reading, hadith verification, exegesis & commentaries, the knowledge graph, and bibliography. All share one covenant: no fabrication in absence — when the corpus holds no text, it says so plainly; when it holds a near match, it declares the degree of similarity.
1 · Retrieval & Reading
moheet_search_corpus — Semantic corpus search
Purpose: the main gate — "what do the sources say about X?" Retrieves the most relevant passages across all ingested books, even when your wording shares no vocabulary with the text.
Methodology: hybrid dual-engine search — multilingual semantic embeddings (Cohere embed-v4.0 over Qdrant) plus normalised Arabic lexical matching — fused by reciprocal rank (RRF), then re-ordered by a reranking model. Every result carries full citation with the editors' footnotes in place; for scanned books a vision agent reads the actual page image. Optional parameters tune result count, alternative phrasings, source diversity, and category restriction.
Researcher example: "What did al-Zahrāʾ (a) say when her inheritance was withheld?" — passages return from their loci with book and page; a question asked in Persian reaches Arabic sources and vice versa.
moheet_read_range — Sequential reading
Purpose: read consecutive pages of a specific book (up to 15 per request) — for context around a citation, or to browse an entire chapter.
Methodology: reassembles the book's passages in page order into continuous text, with heading chains and editors' footnotes in their positions — a faithful reading of the print, not a paraphrase.
Editor example: found your witness at "Fadak fī al-Tārīkh p. 116"? Request 115–117 to see the full argument before citing.
moheet_view_page — Original page image
Purpose: for scanned books: returns time-limited signed links (24 h) to the page image in three resolutions — display, thumbnail, archival original — with its machine-read excerpt.
Methodology: page images are archived at original resolution; the image itself is always the authority, the machine reading is auxiliary — stated explicitly in every output.
Editor example: citing a scanned source? Attach the page image beside your citation — visual documentation beyond dispute.
2 · Hadith Scholarship
moheet_hadith_lookup — Narration sourcing (takhrīj)
Purpose: give it a narration's text (or a distinctive fragment) and it returns the canonical text with full sourcing: book, volume, page, hadith number, chapter, edition — terse output built for critical-edition footnoting.
Methodology: search confined to classified hadith books with lexical-match weighting and match-centred excerpts. A dual honesty threshold guards it: if the match score is weak or your distinctive words are absent from the candidate, it declares "no strong match" rather than dressing weak candidates as takhrīj.
Editor example: "Source: whoever dies on Friday is spared the torment of the grave" — returns Biḥār al-Anwār vol. 6 p. 230 no. 35, with chapter and edition.
moheet_hadith_verification — Verifying attributed texts
Purpose: present a text circulating as hadith and receive an explicit verdict: found / a similar text exists / not found in this wording — with the two closest matches, their sourcing, and match scores.
Methodology: semantic-lexical matching with calibrated verdict thresholds, guarded by a numbers guard: if meaning agrees but numerals differ (a thousand prayers becomes a hundred), the verdict is downgraded with an explicit warning. Absence never condemns a narration — coverage is bounded by ingested books, and every answer says so.
Researcher example: received a viral attributed text? Submit it verbatim — if it distorts an original, you see the original and the exact point of distortion.
3 · Exegesis & Commentaries
moheet_quran_interpreter — Exegetical material for a verse
Purpose: give it a verse or fragment (surah optional) and it returns documented exegetical passages from ingested tafsīr works.
Methodology: search restricted strictly to the tafsīr category; if the corpus holds no tafsīr works it says so — it never improvises from other genres.
Example: "What is narrated on: This day I have perfected your religion" — returns exegetical loci by book, volume, page.
moheet_scientific_explanation — Scholarly commentary on questions
Purpose: give it a technical question or phrase and it returns explanatory passages from classified commentary works, with a facet line showing which books discuss it most.
Methodology: category-restricted search with a small-to-big expansion tail: every result carries a ready reference for reading its neighbourhood sequentially when needed.
Advanced student example: "Explain this passage of Kifāyat al-Uṣūl" — returns commentary loci grouped by work.
4 · Knowledge Graph
moheet_graph_explore — Relational exploration
Purpose: for relational questions text search cannot answer: how do two concepts relate? who critiqued whom? what does a position rest upon? Returns documented relation chains between concepts and figures.
Methodology: a knowledge graph (Neo4j) whose nodes and edges are machine-extracted from book passages, under one strict rule: no relation is shown without its verbatim evidence, source, and page.
Researcher example: "How does Fadak relate to the succession conflict?" — returns the chain Fadak → al-Zahrāʾ → opposes → the Caliphate, each edge with its literal evidence and page.
moheet_get_communities — Panoramic thematic survey
Purpose: before diving deep: what are the corpus's major themes around a field? Returns summaries of the thematic clusters connected to your question.
Methodology: automated community detection over the graph (GDS algorithms) groups densely connected concepts into clusters, each summarised with documentation and refreshed as the corpus grows.
Example — opening a study: "What themes surround the barzakh in the corpus?" — returns the major clusters; you choose where to zoom in.
5 · Bibliography
moheet_book_card — Bibliographic card
Purpose: the full card before you cite: title, author and death year, volume, editor, edition, publication year, publisher, classification, and indexed-passage count.
Methodology: source-file identity data, completed where absent by an AI cataloguing agent that reads the book's opening pages — so you know exactly which edition the corpus relies on.
Editor example: before referencing "Faḍl al-Kūfa wa-Masājidihā", request its card for your footnote: ed. al-Ṭurayḥī, Dār al-Murtaḍā, Beirut.
moheet_about — About the corpus
Purpose: answers "what is this service, its scope, its tools?" — a concise statement of content, method, and coverage bounds.
Composite Scenarios from Real Research
The critical editor footnoting: an unsourced narration in the manuscript →
hadith_lookup for takhrīj → read_range for context → book_card for edition data in the footnote → and if the source is scanned: view_page for an image filed with the edition.The theology researcher building a chapter:
get_communities to survey the field → search_corpus to gather texts from their loci → graph_explore to discover who relies on whom and who critiqued whom → then sequential reading of the pivotal passages.Verifying a circulating text: an attributed saying making the rounds →
hadith_verification returns the explicit verdict with its score, the nearest original if any, and the point of divergence if distorted.All tools are read-only — no writing, no deletion — accessed over the MCP standard with OAuth 2.1 authorisation. Request access.