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Context Engineering

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Empower AI agents with comprehensive codebase understanding, eliminating context loss and optimizing token usage for complex software development.

关于

Context Engineering is an MCP (Model Context Protocol) server designed to bridge the gap between AI agents and complex software projects. It solves the critical problem of context loss, allowing AI to fully grasp your project's architecture, tech stack, and established coding patterns. By providing this perfect understanding, the tool eliminates repeated manual explanations, ensures code consistency, and generates comprehensive feature plans, enabling developers to build sophisticated features much more productively across various IDEs like Cursor, Claude Code, and VS Code.

主要功能

  • Intelligent Feature Categorization (8 smart categories with LLM analysis)
  • 1 GitHub stars
  • Token Usage Optimization (10-50x reduction in token consumption)
  • Automated Documentation Generation (PRDs, technical blueprints, detailed tasks)
  • Advanced Codebase Analysis (tech stack, architecture, database mapping)
  • Cross-Platform Compatibility (Cursor, Claude Code, VS Code, any MCP-compatible IDE)

使用案例

  • Open Source Projects (contributor onboarding, documentation generation, feature roadmapping)
  • Enterprise Development (large codebases, team consistency, legacy migration)
  • Startup Velocity (rapid prototyping, technical debt management, full-stack development)
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