opensolr-mcp
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TDQS
Scored across 10 tools
Each tool targets a distinct operation: text search, image search, RAG answering, index listing/info, ingestion lifecycle, deletion, and creation. Even the two search variants are clearly separated by query type, and the supporting region/status tools have unambiguous roles.
All tools share the opensolr_ prefix and generally follow a verb_noun pattern, but a few names like opensolr_index_info, opensolr_ai_answer, opensolr_ingest_status, and opensolr_vector_regions are noun-style rather than verb-first. The convention is still predictable and readable.
Ten tools cover the primary surface of an Opensolr search server: searching, ingesting, managing documents, and managing indexes. The count feels appropriately scoped without redundant or excessive entries.
Core workflows are well covered: create/list/inspect indexes, ingest and check status, delete documents, search by text or image, and get grounded answers. Minor gaps exist, such as no delete_index operation and no explicit index settings update or single-document fetch, but these are not fatal to typical usage.