{"servers":[{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.studiomeyer-io/local-memory-mcp","description":"Persistent local AI memory. SQLite + FTS5 + vector search, knowledge graph. No cloud, no API keys.","title":"Local Memory","repository":{"url":"https://github.com/studiomeyer-io/local-memory-mcp","source":"github"},"version":"2.3.1","packages":[{"registryType":"npm","identifier":"@studiomeyer/local-memory-mcp","version":"2.3.1","transport":{"type":"stdio"},"environmentVariables":[{"description":"Custom path for the SQLite database file","format":"string","name":"MEMORY_DB_PATH"},{"description":"Disable the local embedding pipeline (forces FTS5-only search). Useful in restricted networks where the model can't be downloaded.","format":"string","name":"MEMORY_EMBED_DISABLED"},{"description":"Override the embedding model id (defaults to Xenova/multilingual-e5-small).","format":"string","name":"MEMORY_EMBED_MODEL"},{"description":"Override the Transformers.js cache directory (defaults to the OS data dir).","format":"string","name":"MEMORY_EMBED_CACHE_DIR"}]}]},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-06-22T22:52:26.346864Z","publishedAt":"2026-06-22T22:52:26.346864Z","updatedAt":"2026-06-22T22:52:26.346864Z","isLatest":false}}},{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.studiomeyer-io/local-memory-mcp","description":"Persistent local AI memory. SQLite + FTS5 + vector search, knowledge graph. No cloud, no API keys.","title":"Local Memory","repository":{"url":"https://github.com/studiomeyer-io/local-memory-mcp","source":"github"},"version":"2.4.0","packages":[{"registryType":"npm","identifier":"@studiomeyer/local-memory-mcp","version":"2.4.0","transport":{"type":"stdio"},"environmentVariables":[{"description":"Custom path for the SQLite database file","format":"string","name":"MEMORY_DB_PATH"},{"description":"Disable the local embedding pipeline (forces FTS5-only search). Useful in restricted networks where the model can't be downloaded.","format":"string","name":"MEMORY_EMBED_DISABLED"},{"description":"Override the embedding model id (defaults to Xenova/multilingual-e5-small).","format":"string","name":"MEMORY_EMBED_MODEL"},{"description":"Override the Transformers.js cache directory (defaults to the OS data dir).","format":"string","name":"MEMORY_EMBED_CACHE_DIR"}]}]},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-08-01T20:12:57.939771Z","publishedAt":"2026-08-01T20:12:57.939771Z","updatedAt":"2026-08-01T20:12:57.939771Z","isLatest":false}}},{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.studiomeyer-io/local-memory-mcp","description":"Persistent local AI memory. SQLite + FTS5 + vector search, knowledge graph. No cloud, no API keys.","title":"Local Memory","repository":{"url":"https://github.com/studiomeyer-io/local-memory-mcp","source":"github"},"version":"2.4.1","packages":[{"registryType":"npm","identifier":"@studiomeyer/local-memory-mcp","version":"2.4.1","transport":{"type":"stdio"},"environmentVariables":[{"description":"Custom path for the SQLite database file","format":"string","name":"MEMORY_DB_PATH"},{"description":"Disable the local embedding pipeline (forces FTS5-only search). Useful in restricted networks where the model can't be downloaded.","format":"string","name":"MEMORY_EMBED_DISABLED"},{"description":"Override the embedding model id (defaults to Xenova/multilingual-e5-small).","format":"string","name":"MEMORY_EMBED_MODEL"},{"description":"Override the Transformers.js cache directory (defaults to the OS data dir).","format":"string","name":"MEMORY_EMBED_CACHE_DIR"}]}]},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-08-01T20:44:53.698789Z","publishedAt":"2026-08-01T20:44:53.698789Z","updatedAt":"2026-08-01T20:44:53.698789Z","isLatest":false}}},{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.studiomeyer-io/local-memory-mcp","description":"Persistent local AI memory. SQLite + FTS5 + vector search, knowledge graph. No cloud, no API keys.","title":"Local Memory","repository":{"url":"https://github.com/studiomeyer-io/local-memory-mcp","source":"github"},"version":"2.4.2","packages":[{"registryType":"npm","identifier":"@studiomeyer/local-memory-mcp","version":"2.4.2","transport":{"type":"stdio"},"environmentVariables":[{"description":"Custom path for the SQLite database file","format":"string","name":"MEMORY_DB_PATH"},{"description":"Disable the local embedding pipeline (forces FTS5-only search). Useful in restricted networks where the model can't be downloaded.","format":"string","name":"MEMORY_EMBED_DISABLED"},{"description":"Override the embedding model id (defaults to Xenova/multilingual-e5-small).","format":"string","name":"MEMORY_EMBED_MODEL"},{"description":"Override the Transformers.js cache directory (defaults to the OS data dir).","format":"string","name":"MEMORY_EMBED_CACHE_DIR"}]}]},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-08-01T20:58:29.569006Z","publishedAt":"2026-08-01T20:58:29.569006Z","updatedAt":"2026-08-01T20:58:29.569006Z","isLatest":false}}},{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.studiomeyer-io/local-memory-mcp","description":"Persistent local AI memory. SQLite + FTS5 + vector search, knowledge graph. No cloud, no API keys.","title":"Local Memory","repository":{"url":"https://github.com/studiomeyer-io/local-memory-mcp","source":"github"},"version":"2.4.3","packages":[{"registryType":"npm","identifier":"@studiomeyer/local-memory-mcp","version":"2.4.3","transport":{"type":"stdio"},"environmentVariables":[{"description":"Custom path for the SQLite database file","format":"string","name":"MEMORY_DB_PATH"},{"description":"Disable the local embedding pipeline (forces FTS5-only search). Useful in restricted networks where the model can't be downloaded.","format":"string","name":"MEMORY_EMBED_DISABLED"},{"description":"Override the embedding model id (defaults to Xenova/multilingual-e5-small).","format":"string","name":"MEMORY_EMBED_MODEL"},{"description":"Override the Transformers.js cache directory (defaults to the OS data dir).","format":"string","name":"MEMORY_EMBED_CACHE_DIR"}]}]},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-08-09T03:33:19.381111Z","publishedAt":"2026-08-09T03:33:19.381111Z","updatedAt":"2026-08-09T03:33:19.381111Z","isLatest":true}}}],"metadata":{"count":5}}