Context AI FAQs

Question 1

What are the prerequisites to use Context AI?

Accepted Answer

To get started with Context AI, you need Node.js 18+, TypeScript, and a compatible MCP client such as VS Code with MCP support or Claude Desktop.

Question 2

Can Context AI assist with code reviews and team onboarding?

Accepted Answer

Yes, it provides automated analysis for code quality, security, and performance. It includes comprehensive code review templates and can help new team members quickly understand existing codebase structures and patterns.

Question 3

How does Context AI improve AI assistants?

Accepted Answer

It feeds AI assistants comprehensive insights including complete code analysis, dependency mapping, technology detection, and architectural patterns. This enables smarter suggestions, automated analysis, and more relevant AI interactions based on your specific codebase.

Question 4

What kind of analysis does Context AI perform?

Accepted Answer

Context AI conducts thorough workspace analysis, including complete code analysis, dependency mapping, technology detection, and identification of architectural patterns. It also offers advanced code search and AI-optimized context summaries.

Question 5

What is Context AI?

Accepted Answer

Context AI is a Model Context Protocol (MCP) server designed to enhance AI capabilities by providing rich context from your workspace. It gives AI assistants a deep understanding of your codebase, patterns, and project structure.

Context AI

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