What distinguishes Project Scope from naive pattern-based scanners?
Project Scope uses context-sensitive scanning that parses source code rather than pattern-matching, eliminating false positives on legitimate code.
@adityasasidhar
基本情報
A production-ready MCP server that gives AI agents deep codebase understanding. Features AST-based semantic analysis, context-aware security scanning (zero false positives on source code), safe refactoring tools with previews, and comprehensive Git operations.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"project-scope": {
"command": "npx",
"args": [
"-y",
"@adityasasidhar/project-scope-mcp"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Project Scope is a production-grade MCP server for semantic code intelligence and safe repository control. It gives AI agents deep, structural understanding of codebases and the ability to modify them safely through AST analysis, context-aware security scanning, refactoring tools, and Git operations.
To use Project Scope, configure your AI agent’s MCP client to connect to this server. You can then invoke its tools, such as get_repo_structure for repository analysis, scan_repo_for_threats for security scanning, refactor_rename for refactoring, and git_status for Git operations.
Project Scope uses context-sensitive scanning that parses source code rather than pattern-matching, eliminating false positives on legitimate code.
Yes, Project Scope is fully local execution, built with TypeScript, Node.js, and Tree-sitter.
It includes prompt injection detection, regex and heuristic guards, optional integration with Meta Llama Prompt Guard 2, and file access and execution boundaries.
Yes, it enforces mandatory preview before applying refactors and uses AST analysis to guarantee syntax correctness.
Project Scope supports repository status, commit history, branch comparison, and initialization.
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