Remember Me MCP Server

Overview

The Remember Me MCP server is a lightweight persistence layer designed to keep conversational context, rules, and reusable content alive across sessions in Model Context Protocol–based language model applications. By storing artifacts such as rules, snippets, and summaries in a SQLite database, it removes the need for external state‑management systems while still providing a robust API for CRUD operations. This is particularly valuable for developers who want to embed consistent behavior and knowledge into AI assistants without reinventing persistence logic.

The server exposes a clear resource hierarchy. Rules dictate how the AI should behave—using a structured policy syntax (MUST, SHOULD, MAY, etc.) developers can encode compliance constraints or style guidelines. Snippets are short blocks of code, templates, or textual fragments that the assistant can inject into responses on demand. Summaries capture distilled insights from past interactions, enabling the model to reference important context without re‑processing entire conversation histories. Each resource is tagged with a context namespace, allowing fine‑grained scoping (e.g., a global “me” context versus project‑specific contexts like “coding” or “creative”).

Key capabilities include automatic inclusion of the special “me” context at every conversation start, flexible loading of additional contexts via an parameter, and a full backup system that lets developers snapshot and restore entire context states. The API is intentionally simple: listing, setting, retrieving, and deleting resources are all single‑call operations. This simplicity translates into minimal integration effort for LLM workflows, where the assistant can load its context once per session, apply any returned rules, and then dynamically fetch or update snippets and summaries as the dialogue evolves.

Real‑world scenarios benefit from this design in several ways. A customer‑support bot can maintain a set of compliance rules (e.g., “MUST NOT disclose personal data”) while pulling canned response snippets that are updated by support staff on the fly. A developer assistant can load a “coding” context populated with language‑specific templates, and store new best‑practice snippets after each session. Writers using an AI companion can keep a “creative” context with prompts and maintain summaries of plot points that persist across writing sessions. In each case, the Remember Me server removes friction by providing a single point of truth for all contextual artifacts.

Because it is built on SQLite, the server offers low overhead and zero‑configuration deployment. Developers can quickly spin up a persistent store that scales with the number of contexts, and the clear separation between rules, snippets, and summaries makes it straightforward to audit or modify behavior without touching the underlying AI model. This combination of simplicity, flexibility, and policy‑driven control makes Remember Me a standout choice for any MCP‑enabled application that requires durable, context‑aware interactions.