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Store meeting transcripts and recall decisions, commitments, and context across meetings.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "meeting-memory-mcp" yet — see the docs or source repo.
Search the last three product weekly meetings for pricing strategy discussions. Summarize the final decisions, rejected options, and the date and owner for each decision.
A time-ordered summary of pricing decisions with outcomes, alternatives, and owners.
Find commitments in the meeting records about release date, feature scope, and owners, and flag anything inconsistent or contradictory across meetings.
A commitment list highlighting contradictions, the meetings involved, and potential risks.
Based on the past month of relevant meeting notes, create a project context brief covering key decisions, open items, major disagreements, and next steps.
A structured project brief that helps new team members quickly understand progress and pending work.
Search local markdown docs and meeting transcripts semantically without cloud or API keys.
Provide persistent local memory and semantic search for MCP AI clients.
Enable AI to manage research memory in Obsidian across sessions.
Provide persistent local semantic memory for MCP tools to store and search notes.
Automatically stores technical knowledge and retrieves relevant context across future AI sessions.
Let AI manage memos through natural language creation, retrieval, editing, and deletion.