# Context management

MCP Server is a middleware server that serves as a bridge between the Cursor IDE and AI models, validating AI responses using project context and Gemini.

Project summary

Build a custom Python MCP server for connecting AI agents and tools to achieve standardized communication and context management.

A development memory server for persistent development memory management across projects, automatically capturing and organizing development context, code changes, and user interactions.

The MCP Python SDK is a Python library that implements the Model Context Protocol (MCP) for standardizing the interaction between LLM applications and servers, supporting the exposure and management of resources, tools, and prompts.

Cline Memory Bank is a persistent project context management server designed for AI-assisted development. By integrating with the Cline extension in VSCode, it enables project memory functions across sessions, including context maintenance, progress tracking, and technical decision recording.

Essential MCP is a revolutionary AI - human interaction protocol that enables a more powerful and intelligent collaborative experience through a context management system, tool collection, and testing framework. The project includes core components such as an SSH server, a Python API tool hub, and a unified context system. It is built with a modern technology stack and inspired by Elvis's innovative spirit.

The Wanaku MCP router is an AI application router based on the Model Context Protocol (MCP), aiming to standardize the way applications provide context to large language models (LLMs).

Lipsky Memory MCP is a model context protocol server for managing project memory and context.

Cline Memory Bank is a persistent project context management server designed for AI-assisted development. By integrating with the Cline extension in VSCode, it provides project memory functions across sessions for AI assistants, including context maintenance, progress tracking, and technical decision recording.

An MCP service that combines the inference capabilities of DeepSeek R1 and the generation capabilities of Claude 3.5

Claude Server MCP is an early - stage context management server that provides cross - session persistent context management for Claude, supporting project - based organization and conversation continuity.

The MCP Python SDK is a Python library that implements the Model Context Protocol (MCP), used to standardize the interaction between LLM applications and servers, supporting the exposure and management of resources, tools, and prompts.

An MCP service for managing project memory and context, supporting project context management, entity relationship tracking, and data persistence.

Service projects using Trusted Advisor as the model context protocol

Implementation of AI character model context protocol server

The Chroma MCP Server is a model context protocol server designed for the Chroma vector database, aiming to provide persistent working memory functions for AI-assisted development, supporting cross-session context storage and semantic retrieval.

The MCP project is a standardized protocol for enhancing the context understanding ability of AI models. It provides environmental information, user preferences, and conversation history in a structured manner, solving the problem of limited memory in AI systems. The project includes installation guides, environment configuration, and multiple experimental cases.

MCP Klaudium is an enhanced memory server with dynamic compression, context management, and thought process integration capabilities. It realizes entity - relationship storage and retrieval based on a knowledge graph and supports temporal awareness and memory importance evaluation.