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Search local markdown docs and meeting transcripts semantically without cloud or API keys.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "recall-mcp" yet — see the docs or source repo.
Please semantically search my local markdown documentation for "common causes of user authentication failure," summarize the 5 most relevant results, and list which document each result comes from.
Returns the most relevant excerpts, source files, and concise summaries to quickly locate the answer.
Search my local Granola meeting transcripts for "pricing changes" and "release date," then organize the related discussion, final decisions, and corresponding meeting times.
Outputs a summary of relevant meeting records including decisions, context, and timing details.
Across my local markdown docs and meeting transcripts, semantically search for "performance issues in customer feedback" and summarize the main issue types, frequency, and related source records.
Generates a theme-based summary with traceable original sources attached.
Turn local notes into a private searchable knowledge base for AI assistants.
Store meeting transcripts and recall decisions, commitments, and context across meetings.
Store, search, and query meeting notes with semantic RAG.
Search code and technical docs privately with local-first RAG for developers.
Let AI search local Granola meeting notes, summaries, and transcripts.
Store and retrieve text semantically with local vector memory for conversations.