A
licenseA
qualityB
maintenanceEnables question answering over technical documents (Markdown, TXT, PDF) using hybrid retrieval (vector + lexical) with cited sources and audit logging, fully locally with optional cloud fallback.
3
MIT
solid-knowledge-ai
by hailampy123
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TDQS
B3.2/5.0
Scored across 2 tools
Disambiguation4/5
The two tools are distinct in purpose: search_kb returns semantic search results over sources, while ask provides a grounded, cited answer through an agent. There is some overlap in that both retrieve information from the same knowledge base, but the descriptions clearly differentiate a low-level search from a high-level Q&A interaction, making misselection unlikely.
Naming Consistency4/5
Both tool names use lowercase snake_case and are verb-based. 'search_kb' follows a verb_noun pattern while 'ask' is a bare verb, creating a minor inconsistency, but the pattern is still simple and predictable given the small set.
Tool Count3/5
With only two tools, the server feels thin but not unreasonable. Search and ask cover the core knowledge-access functions, though additional tools like listing sources or managing documents might be expected in a fuller knowledge-management server.
Completeness4/5
The tool surface covers the core domain of querying an ingested knowledge base: search_kb for retrieval and ask for synthesized answers. Minor gaps exist, such as no way to enumerate available sources or inspect document metadata, but these are not critical for the stated purpose.
Maintenance
ActivityMaintained
ResponsivenessNo issues