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Search Obsidian vaults semantically with graph context across multiple knowledge bases.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "obsidian-mcp-search" yet — see the docs or source repo.
Run a semantic search across my Obsidian vaults for “best practices of prompt engineering in education”, prioritize the most relevant notes, and show their link context and related themes.
A ranked list of relevant notes across vaults with link relationships, context summaries, and related topic clues.
Search for “new product launch plan” and find all related meeting notes, requirement docs, and retrospective notes, then present the key nodes by graph relationships.
A set of related documents plus their knowledge-graph connections to quickly understand the full project picture.
Find historical notes in my local Obsidian vault that are semantically closest to “user churn analysis”, including differently worded but topically similar content.
Semantically similar past notes that help reuse existing analyses, conclusions, and references.
Connect to and manage an Obsidian vault for searching, editing, and organizing notes.
Securely let AI read, write, search, and scrape content for Obsidian notes.
Let AI manage, search, and organize content inside an Obsidian vault.
Add persistent memory and BM25 search to Obsidian across AI sessions.
Connect Obsidian vaults to AI for searchable, structured, efficient editing.
Read, write, search, and manage Obsidian vault notes through MCP.