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Search and retrieve Obsidian notes for AI with semantic and keyword queries
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "EzRAG MCP Server" yet — see the docs or source repo.
Use semantic search in my Obsidian vault to find notes most related to 'factors affecting user retention' and return summaries of the top 5 results.
Returns the top 5 matching notes with titles, summaries, and relevant content snippets.
Search my Obsidian notes for the keyword 'Q3 OKR', list all matching meeting notes, and sort them by date.
Outputs a list of matching meeting notes with dates and brief content previews.
Open and read the note titled 'Product Launch Retrospective' in my vault, then extract key issues, conclusions, and follow-up action items.
Returns a structured summary of the note, including issues, conclusions, and action items.
Search, read, and list Obsidian notes with natural language semantic retrieval.
Search and read relevant passages from an Obsidian vault via read-only MCP tools.
Securely let AI read, write, search, and scrape content for Obsidian notes.
Let AI search your local Obsidian vault and retrieve relevant notes.
Connect local Obsidian notes to LM Studio for retrieval-based question answering.
Expose an Obsidian vault to AI for note search and CRUD operations.