A
licenseNot graded
qualityC
maintenanceEnables natural-language semantic search over a fully local knowledge base, keeping embeddings, storage, and retrieval on the machine.
MIT
mcp-rag
Related Servers
Alternatives to mcp-rag
No user-submitted related servers found.
Related Servers
- FlicenseAqualityDmaintenanceEnables indexing local documents (PDF, Markdown, text, code) into a knowledge base and querying them via semantic search using local embeddings, all running privately on your machine.4-
- AlicenseAqualityBmaintenanceEnables 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.3MIT
- FlicenseNot gradedqualityDmaintenanceEnables searching a knowledge base and asking grounded questions with hybrid retrieval, reranking, and cited answers.-
- FlicenseAqualityDmaintenanceEnables AI agents to query a local knowledge graph built from document collections using hybrid search (BM25 + vector fusion) and entity-relationship extraction. Supports privacy-first, offline operation with tools for semantic search, entity graph exploration, and corpus statistics.3-
- FlicenseNot gradedqualityDmaintenanceEnables semantic search over personal files using natural language, with optional AI summarization, all running locally.-
TDQS
A4/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a clear, distinct purpose: answer_question for generating answers, search_documents for retrieving passages, list_sources for enumerating documents, and get_stats for server metadata. No functional overlap.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case (answer_question, get_stats, list_sources, search_documents), making the API predictable.
Tool Count5/5
With 4 tools, the server is well-scoped for its RAG purpose. Each tool covers a core operation (search, answer, list sources, stats) without unnecessary bloat.
Completeness5/5
The tool surface covers all essential tasks for a knowledge base query system: searching, answering with citations, listing available documents, and retrieving system stats. No obvious gaps for the stated purpose.
Maintenance
ActivityStale
ResponsivenessNo issues