F
licenseNot graded
qualityD
maintenanceA local RAG knowledge base MCP server that exposes semantic document search as tools using zvec for vector storage and Qwen3-Embedding for text embedding.
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No user-submitted related servers found.
Scored across 4 tools
Each tool has a clearly distinct purpose: kb_search for searching, kb_get_document for retrieving full documents, kb_list_documents for listing metadata, and kb_stats for index statistics. No overlap or ambiguity.
All tools follow a consistent 'kb_verb' pattern with snake_case (e.g., kb_search, kb_get_document). Naming is predictable and uniform.
With 4 tools, the server is well-scoped for a corporate knowledge base: search, retrieval, listing, and statistics. Each tool adds value without redundancy.
The tool surface covers the core operations for a read-only knowledge base: search, get full document, list metadata, and view stats. No obvious gaps given the intended use case.