# Context Management

This project demonstrates how to integrate Claude AI into the development process through the MCP protocol, including an MCP server and a to-do application demonstration to achieve AI-assisted software development.

The MCP context manager is a solution for achieving cross - session persistent AI context through a knowledge graph, supporting multi - domain intelligent management.

A model context protocol (MCP) SDK implemented in Python for building standard servers and clients interacting with LLMs

An MCP service for code analysis based on tree-sitter, providing intelligent code context management capabilities for Claude.

A model context protocol SDK implemented in TypeScript, providing client - side and server - side functions for integration with LLMs.

This project implements a personal context management server based on the MCP protocol, which is used to store and update users' personalized data, enabling AI assistants to maintain memory across sessions and provide personalized services.

This project is an MCP service based on Apache Unomi, enabling Claude to maintain context through user profile management, providing functions such as profile lookup, attribute management, and session handling.

Database Model Context Protocol (DB-MCP) Server

The MCP Context Template is a repository for centrally managing AI tool contexts, aiming to reduce the cost of context sharing and improve development efficiency, providing a unified AI collaboration standard and document structure for teams.

An MCP server implementation based on Gemini, providing powerful context management and caching functions, supporting a context window of up to 2 million tokens, and suitable for integration with various AI clients.

An MCP server that provides intelligent text summarization functions for AI agents, optimizing context window management and improving AI work efficiency

A Node.js-based Cardano blockchain integration service that provides tool registration, knowledge base management, and context processing functions.

A context management and caching MCP server based on Gemini, supporting a large context window of 2M tokens and providing session management and API caching functions.

Memory Bank MCP is a server based on the Model Context Protocol (MCP) for managing Memory Banks, allowing AI assistants to store and retrieve information across sessions. It supports remote SSH server storage, provides multiple operating modes and tools to help AI assistants maintain context and track cross - session progress.

An intelligent text summarization MCP server designed for AI workflows, providing intelligent summarization functions for command output, file content, and directory structure, and optimizing the context window management of AI agents.

A model context protocol SDK implemented in TypeScript, supporting client and server functions for integration with LLMs.

The MCP Python SDK is a Python development toolkit that implements the Model Context Protocol (MCP), allowing developers to build standardized MCP servers and clients to provide context data, tools, and interaction templates for LLM applications.

MCP is an open protocol for standardizing the context of AI applications, similar to the USB - C interface in the AI field, enabling seamless connection between LLMs and various data sources/tools. It provides preset integrations, multi - model switching, secure data processing, and a standardized interface, supporting the construction of LLM - based intelligent agents and complex workflows.

The MCP Protocol SDK implemented in TypeScript for building standardized services interacting with LLMs

An MCP server for persisting development memory across projects, automatically capturing and organizing development context, code changes, and user interactions. Currently, it is hindered by file system access and JSON response handling issues.

An intelligent text summarization MCP server designed for AI workflows, providing intelligent summarization functions for command output, file content, and directory structure

The HuLa MCP Service is a TypeScript implementation based on the Model Context Protocol, providing a backend service for the HuLa instant messaging application with functions such as resource access, tool operations, and context management.

A simple MCP server prototype based on Node.js and Express for interacting with the OpenAI API through structured contexts, supporting dynamic character updates and story plot generation.

MCP Remote Context Server for Copilot Integration

The MCP server implemented by the VS Code extension provides a standardized context interaction protocol for AI assistants and supports the seamless integration of the development environment and LLMs.

An MCP server for extending the context window/memory of AI agents, supporting the storage, retrieval, and management of memory content, including semantic search functionality.

The MCP plugin of ElizaOS implements the integration with the Model Context Protocol (MCP), enabling agents to connect to multiple MCP servers and obtain resource, prompt, and tool support.

A smart context management MCP server for context tracking, recovery, and project management in AI development sessions, avoiding the loss of conversation context due to token limitations.

An MCP server for expanding the context window/memory of AI agents, supporting storage, retrieval, and management of memories, including semantic search functionality.

The MCP Server is a lightweight system for managing contextual data of AI models to enhance the response capabilities of AI applications.