Cognitive Exoskeleton MCP Server
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- FlicenseNot gradedqualityAmaintenanceEnables users to create, link, explore, and synthesize atomic notes as a knowledge graph through Claude and other MCP-compatible clients. It supports tagging, search, note types, semantic link types, and Markdown-file storage indexed by SQLite.-
- FlicenseNot gradedqualityDmaintenanceBuilds a persistent knowledge graph from notes and conversations, enabling semantic search, entity exploration, and GTD task management from any MCP-compatible AI assistant.3-
- FlicenseNot gradedqualityAmaintenanceEnables users to create, link, tag, search, explore, and synthesize atomic notes through Claude and other MCP-compatible clients. Notes are kept as human-readable Markdown files (with an automatically rebuilt SQLite index) and connected through typed bidirectional links that form an explorable knowledge graph.-
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TDQS
Scored across 8 tools
Each tool has a distinct primary purpose, but discover_connections and spark_serendipity both involve cross-domain connections, and detect_blindspots and analyze_cognitive_topology both analyze the graph. Descriptions help differentiate them, but there's slight potential for misselection.
All eight tools follow a consistent verb_noun pattern with snake_case (e.g., ingest_note, trace_concept_evolution). No mixed conventions or vague verbs.
Eight tools is well-scoped for a personal knowledge graph assistant, covering a range of cognitive operations without excess. Each tool serves a clear function.
The set covers ingestion, querying, recall, and analysis well, but lacks explicit edit/delete or raw listing of knowledge entities. This is a minor gap since the focus is on cognitive workflows rather than full CRUD.