Lipsky Memory MCP

Overview

Lipsky Memory MCP is a dedicated Model Context Protocol server designed to give AI assistants persistent, relational memory for software projects. In modern development workflows, an assistant must retain knowledge of codebases, architecture decisions, and inter‑module dependencies across sessions. Lipsky Memory addresses this by storing a structured graph of project entities—files, classes, functions—and the relationships between them. When an AI assistant queries or updates context, the server returns a coherent snapshot that reflects all past interactions, enabling continuity and deeper reasoning about future changes.

The server’s core value lies in its ability to keep context alive beyond a single request. Developers can ask the assistant about how a particular function interacts with another module, and Lipsky Memory will retrieve that relationship from its Turso database. Because the data is persisted in a lightweight, SQL‑compatible store, the memory survives restarts and can be shared across multiple assistants or teams. This persistence removes the “stateless” limitation that many AI tool integrations suffer from, making it possible to build long‑term knowledge bases for code reviews, automated documentation, or continuous integration pipelines.

Key features of Lipsky Memory include:

• Project context management – a clear namespace per project that isolates data and prevents cross‑project leakage.
• Entity and relationship tracking – automated extraction of code entities (files, classes, methods) and their dependencies, stored as a graph.
• Memory persistence – reliable storage in Turso, with support for snapshots and rollbacks.
• Transaction support – atomic updates to the context graph, ensuring consistency when multiple changes occur simultaneously.

Typical use cases involve AI‑driven code analysis tools that need to reference historical commits, refactoring assistants that track legacy dependencies, or chat interfaces where developers can ask “What does depend on?” and receive an up‑to‑date answer. In CI/CD pipelines, Lipsky Memory can feed a linting or security scanner with contextual information about the current branch, improving accuracy.

Integration is straightforward for developers familiar with MCP. The server exposes standard resources such as , , and . An AI assistant can perform CRUD operations via the MCP client, and Lipsky Memory will translate those into SQL queries against Turso. Because it follows the MCP specification, any Claude or other AI platform that supports the protocol can plug in without custom adapters. The combination of persistence, relational context, and transaction safety makes Lipsky Memory a compelling choice for teams that require durable, AI‑powered project knowledge.