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Argus - 存储库分析和安全评估工具

强大的模型上下文协议 (MCP) 工具,用于分析代码存储库、执行安全扫描和评估多种编程语言的代码质量。

特征

  • 多语言支持

    • Go:gocyclo、golangci-lint 分析

    • Java:PMD静态分析

    • Python:Pylint、Bandit 安全检查

    • JavaScript/TypeScript:ESLint 分析

    • 自动语言检测

  • 安全扫描

    • 集成 Trivy 漏洞扫描程序

    • 全面的安全报告

    • 支持多个分支

  • Git 操作

    • 分支机构计数和管理

    • 提交历史分析

    • 差异比较

    • 存储库结构可视化

Related MCP server: CodeAnalysis MCP Server

安装

先决条件

  • Python 3.8+

  • Git

  • libmagic(系统依赖)

系统依赖项

macOS

brew install libmagic

Linux(Ubuntu/Debian)

sudo apt-get update
sudo apt-get install -y libmagic1

通过 uv 安装

uvx argus

用法

基本 MCP 命令

# Analyze repository structure
analyze_repository_structure(
    repo_url="https://gitlab.com/user/repo",
    gitlab_credentials={"api_key": "your-token"},  # Optional
    branch="main"  # Optional
)

# Perform code quality analysis
analyze_code_quality(
    repo_url="https://gitlab.com/user/repo",
    language="python"  # Optional, will auto-detect if not specified
)

# Security scan
security_scan_repository(
    repo_url="https://gitlab.com/user/repo",
    scan_type="trivy"
)

# Compare changes
compare_git_changes(
    repo_url="https://gitlab.com/user/repo",
    source="feature-branch",
    target="main"
)

# Security scan repository
security_scan_repository(
    repo_url="https://gitlab.com/user/repo",
    scan_type="trivy"
)

### MCP Configuration

```json
{
    "command": "uvx",
    "args": [
        "--from",
        "git+https://github.com/athapong/argus",
        "argus"
    ],
    "alwaysAllow": [
        "get_commit_history",
        "enumerate_branches",
        "compare_git_changes",
        "analyze_code_quality",
        "security_scan_repository"  
    ],
    "timeout": 300
}

支持的分析工具

语言

工具

安装

gocyclo,golangci-lint

go install github.com/fzipp/gocyclo/cmd/gocyclo@latest

Java

偏振模色散

macOS: brew install pmd ,Linux:自动安装

Python

皮林特,土匪

通过依赖项自动安装

JavaScript

ESLint

npm install -g eslint

环境变量

  • SKIP_SYSTEM_CHECK :设置为任意值以跳过系统依赖性检查

  • PATH :工具安装时自动更新

错误处理

该工具提供了详细的错误消息和优雅的回退:

  • 依赖项安装失败显示警告而不是错误

  • 如果自动检测失败,语言检测将回退到指定语言

  • 工具执行错误被捕获在响应结构中

执照

MIT 许可证

贡献

  1. 分叉存储库

  2. 创建你的功能分支

  3. 提交你的更改

  4. 推送到分支

  5. 创建新的 Pull 请求

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