An MCP server that treats Obsidian vaults as knowledge graphs, enabling AI agents to traverse wikilinks, assemble token-budgeted context, and search with backlink awareness.
An MCP server that reduces AI coding agent token usage by 80-99% through a queryable knowledge graph of code, change tracking, and persistent memory across sessions.
An MCP server that provides controlled read/write tools for managing local-first research memory in an Obsidian vault, enabling AI agents to maintain project context across sessions.
An MCP server that exposes an Obsidian-style markdown vault as agent-readable memory. It provides tools for search, read, graph, and guarded capture without using embeddings.
MCP server that provides a navigable map of an Obsidian vault for coding agents, with tools to outline notes, fetch sections, query frontmatter, and grep content, reducing token usage compared to reading whole notes.