What does MCP do differently compared to using a file for storing context?

Using a file to store context is a simple, static approach: you write a JSON or text file and read it back when needed. It lacks real‑time updates, concurrency control, and schema enforcement. MCP, by contrast, is a protocol that streams context to a model in real time. It supports incremental updates, versioning, and can lock or lock‑free access to shared state. MCP also defines a clear request/response contract, enabling multiple services to plug in without changing the client code. Security is handled through tokens or certificates, whereas a file may be exposed if not protected. Additionally, MCP can integrate with caching layers or distributed databases, allowing horizontal scaling. In short, MCP provides a dynamic, secure, and extensible way to feed context to an LLM, whereas a file is a static, brittle fallback.