Claude Memory MCP Server

Claude Memory MCP Server is a Model Context Protocol (MCP) implementation that endows Claude with persistent, context‑aware memory. Instead of treating each conversation as a fresh slate, the server captures, stores, and retrieves user‑specific information across sessions, enabling Claude to build a richer, more personalized dialogue experience.

At its core the server uses a tiered memory architecture: short‑term, long‑term, and archival layers. New data lands in the short‑term tier for quick access; once it stabilizes, an automated consolidation process promotes it to long‑term memory. Less relevant items can be moved to archival storage or forgotten based on an importance score, ensuring the memory remains both useful and manageable. This hierarchy mirrors human memory management, providing developers with a natural way to control how much detail persists.

The server supports multiple memory types—conversations, knowledge snippets, entity facts, and reflective insights—each tagged for efficient retrieval. A semantic search engine lets Claude pull memories by meaning rather than exact wording, so even if a user rephrases a question, the assistant can still find the relevant context. Coupled with automatic memory capture, Claude learns to record salient facts without explicit prompts, reducing friction for end users.

For developers, the MCP interface exposes a clean set of operations: add, query, consolidate, and prune memories. Integration is straightforward; the server ships with Docker support for rapid deployment and includes a ready‑made Claude desktop configuration snippet. Once connected, any Claude instance can issue memory commands through the standard MCP channel, allowing seamless incorporation into existing workflows or custom tooling.

Real‑world use cases abound: a customer support bot that remembers user preferences across visits, a personal assistant that tracks long‑term goals and progress, or a tutoring system that retains student learning history. The ability to query “What do you remember about me?” or “Recall my last project’s details” becomes a powerful feature for building trustworthy, context‑rich AI experiences. The Claude Memory MCP Server thus transforms Claude from a stateless chatterbox into a persistent, personalized partner.