Document RAG MCP
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- AlicenseBqualityAmaintenanceEnables file-based knowledge management with ranked keyword and semantic hybrid search, allowing AI agents to learn from documents and recall relevant knowledge as a persistent memory tool.3050 npmAGPL 3.0
- FlicenseNot gradedqualityAmaintenanceEnables AI agents to search, read, and update a document workspace's knowledge through tools, prompts, and resources, either hosted or self-hosted.-
- FlicenseNot gradedqualityAmaintenanceEnables AI agents to search and question a personal knowledge base of notes and documents through hybrid vector and BM25 retrieval, with section-level citations. It also lets agents store, retract, and explore durable memories, links, and indexing statistics across tools.-
- AlicenseNot gradedqualityAmaintenanceEnables agents to build self-hosted knowledge bases from document folders and search them via hybrid vector and keyword retrieval, with eight tools for listing, adding, deleting, and reindexing content.40 npm1MIT

Infino MCP serverofficial
AlicenseAqualityAmaintenanceEnables AI agents to perform keyword, semantic, hybrid, and SQL retrieval over data stored on object storage or local paths, using a local embedding model without requiring an API key.15154 npmApache 2.0
TDQS
Scored across 12 tools
Most tools target distinct resources or actions, but query_tables and aggregate overlap for table analytics, and get_index_status substantially overlaps with health. Descriptions help clarify intent, but an agent could occasionally select the wrong one.
Tool names mostly follow a verb_noun snake_case pattern like list_tables, index_document, and get_config. The main inconsistency is the bare noun 'health' instead of something like 'get_health', and the mix of query/search/aggregate verbs is acceptable but slightly varied.
Twelve tools is well-scoped for a document RAG server covering indexing, retrieval, table querying, and operational status. Each tool serves a credible purpose without feeling bloated or thin.
Core workflows are covered: indexing, directory indexing, search, document retrieval, table listing/querying, and status checks. The main gap is the lack of a delete/remove tool for indexed documents or tables, though force re-indexing mitigates updates.