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by StuMason • Documentation & Docs
A structured MCP server that lets AI agents store, search, and manage categorized knowledge (topics, attachments, relationships and history) to provide persistent contextual memory.
Access and search a centralized, updatable knowledge base (personal, project, or post-training-cutoff facts) to enrich responses with current context.
Look up and version-control project documentation, coding standards, and configuration notes organized by categories and topics.
Discover related topics and semantic connections (cross-references, confidence-scored relationships) when composing or reasoning about content.
Knowledge Vault MCP provides a category-and-topic based knowledge store for personal, project, and up-to-date information, accessible via the Model Context Protocol. It supports full-text and semantic search, attachments, topic relationships with confidence scoring, version history, import/export, and automated web/GitHub import. The server uses a lightweight SQLite database and is intended to centralize and surface context to AI assistants so they can operate with a reliable second brain.
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