MCP Memory Server: Add Memory to Claude

An MCP memory server gives AI clients such as Claude persistent, user-controlled memory by storing a knowledge graph of entities, relationships, and observations in a local JSONL file and exposing tools to create, retrieve, and remove facts. The reference server, distributed as @modelcontextprotocol/server-memory, can be connected to Claude Code through a command or to Claude Desktop through configuration, while claude.ai and Cowork require remotely hosted connectors because they cannot access local servers. Its default storage location under npx may be deleted during updates or cache clearing, so users should configure an absolute MEMORY_FILE_PATH, back up the file, and use separate paths where project isolation is needed. Although suitable for individual developers, the basic server lacks granular access controls, auditing, and reliable multi-user sharing features, making hosted services and gateways more appropriate for teams. Persistent memory also introduces security risks: malicious instructions can be saved and later treated as trusted context, with a cited 2026 study reporting substantial cross-session attack success rates, so users should review stored facts, avoid saving secrets, retain approval over sensitive tool calls, pin dependencies, and apply access controls and audit trails when deploying shared memory.

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