Claude Memory MCP

Claude Memory MCP

A lightweight MCP server that provides Claude Desktop with persistent memory across conversations by storing, summarizing, and retrieving conversation history.

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README

🧠 Claude Memory MCP

A lightweight Model Context Protocol (MCP) server that gives Claude Desktop persistent memory across conversations. It stores, summarizes, and retrieves conversation history so Claude always remembers your context.


✨ Features

Feature Description
Persistent Memory Saves every conversation turn to a local memory.json file
Auto-Summarization Automatically compresses history after 10 turns to keep context lean
Fast Context Loading Returns summary + last 3 turns on demand β€” no bloat
One-command Setup Powered by uv β€” no virtualenv juggling needed
Zero Latency Runs locally over stdio β€” no network calls

πŸ› οΈ Tools Exposed

Tool Description
get_context Load compressed memory (summary + last 3 turns). Call at the start of every conversation.
save_turn Save one conversation turn. Call after every AI response.
clear_memory Wipe all stored memory and start fresh.

πŸš€ Quick Start

Prerequisites

  • Python 3.13+
  • uv installed

1. Clone & Install

git clone https://github.com/adeeljames/claude-memory-mcp.git
cd claude-memory-mcp
uv sync

2. Run the MCP Server (for testing)

uv run python server.py

3. Add to Claude Desktop

Open your Claude Desktop config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Add the following under mcpServers:

{
  "mcpServers": {
    "memory-mcp": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/absolute/path/to/claude-mcp-optimize",
        "python",
        "server.py"
      ]
    }
  }
}

Replace /absolute/path/to/claude-mcp-optimize with the actual path on your machine.

Restart Claude Desktop β€” the memory-mcp server will appear in your tools list.


πŸ“ Project Structure

claude-memory-mcp/
β”œβ”€β”€ server.py           # MCP server β€” all tools defined here
β”œβ”€β”€ memory.json         # Runtime memory file (auto-created, gitignored)
β”œβ”€β”€ pyproject.toml      # uv project config & dependencies
β”œβ”€β”€ uv.lock             # Locked dependency graph
└── README.md           # You are here

βš™οΈ How It Works

Claude Desktop ──stdio──► server.py ──► memory.json
                                          β”‚
                         β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                         β”‚
                    get_context()     β†’ returns summary + last 3 turns
                    save_turn()       β†’ appends to history, triggers summary at 10 turns
                    clear_memory()    β†’ resets everything

πŸ”§ Dependencies

Package Purpose
mcp>=1.26.0 Model Context Protocol SDK

All dependencies are managed by uv and pinned in uv.lock.


πŸ“„ License

MIT β€” free to use, modify, and share.


Made with love by @muhammadadeelai

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