{"servers":[{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.Cloto-dev/cpersona","description":"Persistent AI memory in one SQLite file: 3-layer hybrid search, confidence scoring, 29 tools.","title":"CPersona","repository":{"url":"https://github.com/Cloto-dev/cpersona","source":"github"},"version":"2.5.2","websiteUrl":"https://github.com/Cloto-dev/cpersona#readme","packages":[{"registryType":"pypi","registryBaseUrl":"https://pypi.org","identifier":"cpersona","version":"2.5.2","runtimeHint":"uvx","transport":{"type":"stdio"},"environmentVariables":[{"description":"SQLite database path. Defaults to ./cpersona.db, which follows the client's working directory — set it explicitly to keep one memory across sessions.","default":"./cpersona.db","name":"CPERSONA_DB_PATH"},{"description":"Embedding mode: 'http' to use an embedding server for vector search, 'none' for lexical layers only.","default":"none","name":"CPERSONA_EMBEDDING_MODE"},{"description":"Embedding server endpoint, e.g. http://127.0.0.1:8401/embed. Required when CPERSONA_EMBEDDING_MODE=http.","name":"CPERSONA_EMBEDDING_URL"},{"description":"Recall fusion strategy: 'rrf' (default), 'rsf', or 'cascade'.","default":"rrf","name":"CPERSONA_RECALL_MODE"}]}]},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-07-29T09:22:56.301761Z","publishedAt":"2026-07-29T09:22:56.301761Z","updatedAt":"2026-07-29T09:22:56.301761Z","isLatest":true}}}],"metadata":{"count":1}}