# Context protocol

The Memory MCP Server is a server that provides long-term memory functions for large language models (LLMs). By implementing the Model Context Protocol (MCP), it enhances the context awareness ability of LLMs in continuous interactions. The project provides a user-friendly API, supports storing and retrieving context information, is scalable, and is suitable for various LLM architectures.

This is an initial implementation of a FIWARE Model Context Protocol (MCP) server, providing a bridge between the Context Broker and other services, including basic interaction functions and intention operation demonstrations.

This project is a resource center for the Cursor AI integrated development environment, containing a collection of rules, protocol services, and tools to improve development efficiency, supporting custom AI behavior and project specifications.

PAELLADOC is an AI - first development framework that revolutionizes software development in the AI era by implementing the Model Context Protocol (MCP) and five major philosophical principles.

Memory Bank MCP is a server based on the Model Context Protocol (MCP) for managing the memory bank, enabling AI assistants to store and retrieve information across different sessions.

The Model Context Protocol (MCP) TypeScript SDK is a development toolkit for building standardized LLM context services. It supports creating resources, tools, and prompt templates and interacts with LLM applications through multiple transmission methods.