Context Manager

About

Context Manager is a collection of Model Context Protocol (MCP) servers designed to enhance AI models by providing persistent context across work sessions throughout the project lifecycle. It utilizes domain-specific knowledge graphs to store and manage context for each project, accessible through a central Context Manager for unified access. Each domain server functions as a standalone MCP Server, offering features like efficient context access, session management, and cross-domain support to free up context window, minimize token cost and improve AI model performance.

Key Features

• Persistent context management with buildcontext, loadcontext, and deletecontext.
• Efficient access to context for AI models.
• Session management with startsession and endsession tools for analysis and knowledge graph updates.
• Cross-domain support for working with multiple knowledge domains through a single interface.
• Ability to create relationships between entities in different domains
• 1 GitHub stars

Use Cases

• Managing context for software development projects, components, and tasks.
• Maintaining project management context including projects, tasks, and resources.
• Organizing educational context for courses, assignments, and exams.