Project Scope FAQs

Question 1

Which AI clients and environments does Project Scope integrate with?

Accepted Answer

As an MCP server, Project Scope supports native integration with leading AI development environments and clients, including Claude Desktop, Claude Code CLI, Cursor, GitHub Copilot (VS Code), Gemini CLI, and Codex CLI.

Question 2

What is Project Scope and its primary function?

Accepted Answer

Project Scope is a robust Model Context Protocol (MCP) server that empowers AI agents with deep semantic understanding and safe manipulation capabilities for software repositories. It integrates tools for advanced code analysis, security, and refactoring.

Question 3

Can Project Scope assist with code refactoring tasks?

Accepted Answer

Yes, it offers safe AST-based refactoring tools for tasks like renaming symbols across the project and extracting functions, complete with 'preview first' capabilities to ensure correctness before applying changes.

Question 4

What kind of code analysis capabilities does Project Scope offer?

Accepted Answer

Project Scope performs semantic repository analysis using Tree-sitter to understand code structure, dependencies, and relationships. It can also predict the 'blast radius' of symbol changes, enhancing AI agent's comprehension of complex codebases.

Question 5

How does Project Scope ensure the safety and security of code operations by AI agents?

Accepted Answer

It provides a context-aware security scanner with zero false positives, safe AST-based refactoring with 'preview first' capabilities, and defense-in-depth security features like prompt injection detection, input validation, and file access controls.

Project Scope

Project Scope

소개

주요 기능

사용 사례

소개

주요 기능

사용 사례