A personal semantic knowledge base that enables storing, searching, and retrieving memories and work history using natural language. It features vector-based search, tool discovery via a registry, and indexing of Cursor agent transcripts using Supabase or Postgres.
Install from
M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.
process.env. You'll be asked to provide them before it can run.CURSOR_TRANSCRIPTS_DIR— Path to Cursor agent-transcripts directory; enables index_cursor_chats and search_work_historyDB_BACKEND— The server supports two database backends. Set to choose (default: supabase).EMBEDDING_DIMENSIONS— 1536 Must match the model output and schemaEMBEDDING_MODEL— openai/text-embedding-3-small OpenRouter embedding modelMCP_HTTP_PORT— 3100 Port for the HTTP/SSE transport[](https://m8ven.ai/mcp/subwizzll-mcp-server-wj6bpe)