aleph-mcp
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TDQS
Scored across 10 tools
Each tool targets a distinct Aleph operation: search, entity retrieval, network expansion, identity matching, collection metadata, statistics, schema lookup, xref result reading, and document text extraction. The closest pair (aleph_similar_entities and aleph_xref_results) is separated clearly by entity-level versus dataset-level scope.
All tools share the aleph_ prefix and snake_case, but they do not follow one verb_noun convention: get_entity, list_collections, and fetch_document_text are verb-object, while statistics, xref_results, and similar_entities are noun/adjective phrases and search is a bare verb. Names are readable and predictable enough to navigate, but the pattern is mixed.
Ten tools is well-scoped for an Aleph data exploration server: each tool covers a distinct read-side capability with no redundant utility tools or bloat.
The read-side investigation workflow is well covered: discover collections, search, inspect, expand, match, and read document text. However, the surface is explicitly read-only—there is no way to create or update casefile entities, write collections, or start a new cross-reference run—so it is not a full Aleph admin or casefile API.