Build an MCP server that gives any LLM long-term memory

Your LLM forgets everything after each session. MCP lets you fix that with 3 tools and zero infrastructure. No database cluster. No Redis. No "memory service" running in the background. Just a Python script and a 3MB embedded engine that persists to disk. What is MCP (in 30 seconds) MCP (Model Context Protocol) is the standard way LLMs connect to external tools. Donated to the Linux Foundation, it's now supported by Claude, GPT, Gemini, and most agent frameworks. You write a server that exposes "tools" - the LLM discovers them and calls them when needed. Think of it as a USB port for AI: plug in a memory server, and every LLM that speaks MCP gets long-term memory. The full server: 60 lines of Python Here's a working MCP server that gives any LLM three memory tools: store facts, recall facts, and record events. from fastmcp import FastMCP from sentence_transformers import SentenceTransformer from datetime import datetime import time import velesdb # --- Setup --- model = SentenceTransfo