mcai-knowledge
OfficialRelated Servers
Alternatives to mcai-knowledge
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityAmaintenanceMCP server providing persistent cognitive infrastructure including semantic memory, emotional processing, identity continuity, and a subconscious daemon for pattern analysis.32-
- AlicenseNot gradedqualityDmaintenanceMCP server for a personal knowledge base that captures and structures idea fragments, enabling MCP-capable agents to search, retrieve, and add notes with semantic links and clustering.3MIT
- AlicenseBqualityNot gradedmaintenanceMCP server for structured reasoning with cognitive trap detection, verification, and context compression541 npm1-
- AlicenseBqualityAmaintenanceSelf-maintaining personal knowledge database — MCP server with figure-level search, auto-wikilinks, and Ebbinghaus-based memory compression4631 PyPI6MIT
- AlicenseNot gradedqualityDmaintenanceMCP server for AI-assisted research: paper ingestion, semantic search, citation graph traversal, cross-domain knowledge synthesis, and workflow automation.MIT
- AlicenseAqualityAmaintenanceMCP Server for local knowledge management. Semantic + keywords + tags846 PyPI24MIT
TDQS
Scored across 5 tools
Each tool targets a distinct retrieval mode: full-sentence Q&A (mcai_answer), single-entry lookup (mcai_concept), fuzzy keyword search (mcai_search), relation subgraph (mcai_related), and full catalog (mcai_list). Every description includes an explicit division-of-labor section naming the sibling tools and when to prefer them, which eliminates misselection.
All names share a uniform mcai_ prefix and single-token suffix, so the set reads predictably. Minor deviation: answer/search/list are verbs while concept/related are noun/adjective forms, so the suffix is not strictly a verb_noun pattern.
Five tools map cleanly onto the five natural access paths of a term-based knowledge base (catalog, search, entry, relations, natural-language answer). Nothing appears redundant and no obvious access mode is missing, so each tool earns its place.
The surface covers discovery (list/search), retrieval (concept), explanation (answer), and graph traversal (related), which is full coverage for a read-only knowledge domain. Minor gap: there is no tool to enumerate systems/categories or corpus metadata directly, so taxonomy discovery depends on filtering the term list.