Argus - Repository Analysis and Security Assessment Tool MCP Ser…

@athapong

代码仓库

基本信息

分类

开发工具

许可证

MIT

传输方式

stdio

作者

athapong

关于 Argus - Repository Analysis and Security Assessment Tool MCP Server

A Model Context Protocol (MCP) server for analyzing GitLab repositories and performing security assessments.

#repository-analysis#security-assessment#code-quality

Argus - Repository Analysis and Security Assessment Tool MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "argus": {
      "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
    }
  }
}

Argus - Repository Analysis and Security Assessment Tool MCP Server 工具

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。

概览

What is Argus - Repository Analysis and Security Assessment Tool?

Argus is a Model Context Protocol (MCP) server that analyzes code repositories, performs security scans, and assesses code quality across multiple programming languages. It integrates with Git repositories and supports Go, Java, Python, and JavaScript/TypeScript.

How to use Argus - Repository Analysis and Security Assessment Tool?

Install via uvx argus or clone the repository. Configure the MCP client with the command uvx and arguments pointing to the GitHub source. Use MCP tools like analyze_repository_structure, analyze_code_quality, security_scan_repository, and compare_git_changes with a repository URL and optional credentials.

Key features of Argus - Repository Analysis and Security Assessment Tool

Multi-language support with automatic language detection
Security scanning using Trivy vulnerability scanner
Code quality analysis with language-specific linters
Git operations: branch enumeration, commit history, diff comparison
Repository structure visualization
Comprehensive error handling and graceful fallbacks

Use cases of Argus - Repository Analysis and Security Assessment Tool

Security auditing of open-source or internal repositories
Code quality checks before merging pull requests
Visualizing repository structure and commit history
Comparing changes between branches for code review
Automated integration into CI/CD pipelines via MCP

常见问题

What are the system dependencies?

Python 3.8+, Git, and libmagic (install via `brew install libmagic` on macOS or `apt-get install libmagic1` on Linux).

How do I install Argus?

Use `uvx argus` or clone the repository and run it via MCP configuration. The `SKIP_SYSTEM_CHECK` environment variable bypasses dependency checks.

Which programming languages are supported?

Go, Java, Python, and JavaScript/TypeScript. Language is auto-detected or can be specified explicitly.

What analysis tools are integrated?

- Go: gocyclo, golangci-lint - Java: PMD - Python: Pylint, Bandit - JavaScript/TypeScript: ESLint - General: Trivy for security scanning

How do I configure the MCP server?

Use the command `uvx` with arguments `--from git+https://github.com/athapong/argus argus`. Set `alwaysAllow` for tools like `analyze_code_quality` and `security_scan_repository`, and a timeout of 300 seconds.

开发工具分类下的更多 MCP 服务器

Casefile

azimov777

One case file per task — shared by every session, agent and person that touches it. Self-hosted MCP server and live board. MIT.

Foremerge

naw103

Catch intent conflicts before code conflicts. The open-source coordination protocol for coding agents, built above Git.

Agent Conductor

icohangar-ops

Agent conductor — AGENTS.md contract parser, SKILL.md registry, CHP decision engine over MCP

BetterBugs

The BetterBugs MCP (Model Context Protocol) enables you to load BetterBugs bug reports (via report links) directly to your preferred AI Agents and developer environments with MCP Client capabilities (such as Cursor, VS C

Yocoolab

MCP server for AI Agents — exposes Yocoolab feedback threads and design selections as tools