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
基本信息
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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"project-scope": {
"command": "npx",
"args": [
"-y",
"@adityasasidhar/project-scope-mcp"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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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