Claude Memory MCP Cf MCP Server

An MCP (Model Context Protocol) server implementation that provides persistent memory capabilities for Large Language Models, specifically designed to integrate with the Claude desktop application. Exposed over MCP by the claude memory mcp cf mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.

What it actually does

This project implements optimal memory techniques based on comprehensive research of current approaches in the field. It provides a standardized way for Claude to maintain persistent memory across conversations and sessions.

• Tiered Memory Architecture — Short-term, long-term, and archival memory tiers
• Multiple Memory Types — Support for conversations, knowledge, entities, and reflections
• Semantic Search — Retrieve memories based on semantic similarity
• Automatic Memory Management — Intelligent memory capture without explicit commands
• Memory Consolidation — Automatic consolidation of short-term memories into long-term memory
• Memory Management — Importance-based memory retention and forgetting

Its toolset

Everything the assistant can do here goes through one of these:

• store_memory_example.py — Example of storing a memory
• retrieve_memory_example.py — Example of retrieving memories

Configuration

You will need one environment variable: MEMORY_FILE_PATH. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Adding it to your client

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

When to reach for it

This sits in the knowledge and memory group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Claude Memory MCP Cf's toolset — store_memory_example.py, retrieve_memory_example.py — is a fair guide to whether it matches your workflow. It is maintained by towan912; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Caveats

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the claude memory mcp cf mcp server does with a few real requests.