MCP 用于安全审查

AI Security Crew

A lightweight MCP server for security reviews built for vibe coding — injects security requirements prior to code generation, scans dependencies for CVEs, and verifies generated code, all without breaking your coding rhythm.

Jump to installation:

• MCP Server — full feature set with Jira, Confluence, CVE scanning (with reachability), and threat modeling
• Claude Code Plugin — install 3 security skills globally in Claude Code (no Jira/MCP needed)
• Claude Code Skills only — manually add slash commands to a specific project

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Claude Code Plugin

Install all three security skills directly into Claude Code — no MCP server, no Jira, no configuration required.

/plugin install Srajangpt1/ai_security_crew

This gives you three commands available in any project:

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Claude Code Skills

If you prefer to add the skills to a specific project only (instead of globally), clone this repo and the slash commands in .claude/commands/ are available automatically in Claude Code when working in the project directory.

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Tools

Pre-coding

Dependency security

Post-coding

Threat model persistence

Agent Workflow

The server automatically sends workflow instructions to any connecting agent (Claude, Cursor, etc.) via the MCP initialize handshake. Agents will follow this workflow without additional configuration:

1. Before coding — call lightweight_security_review (or assess_ticket_security for Jira tickets)
2. When adding packages — call verify_packages, then scan_dependencies with the code that uses them
3. After generating code — call verify_code_security and follow the review_prompt to report findings
4. For significant features — call perform_threat_model and persist with update_threat_model_file

Dependency Scanning

scan_dependencies uses OSV.dev to find CVEs and performs reachability analysis to determine if vulnerable code paths are actually called:

Reachability is determined by (in order): OSV function-level symbols → keyword matching against the vuln summary → AI analysis via ctx.sample().

Quick Start

1. Build the image

docker build -t mcp-security-review:latest .

2. Configure your IDE

Add to your MCP config (Claude Desktop, Cursor, etc.):

{
  "mcpServers": {
    "sec-review": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "JIRA_URL",
        "-e", "JIRA_USERNAME",
        "-e", "JIRA_API_TOKEN",
        "-e", "CONFLUENCE_URL",
        "-e", "CONFLUENCE_USERNAME",
        "-e", "CONFLUENCE_API_TOKEN",
        "mcp-security-review:latest"
      ],
      "env": {
        "PATH": "/usr/local/bin:/usr/bin:/bin",
        "JIRA_URL": "https://your-domain.atlassian.net",
        "JIRA_USERNAME": "[email protected]",
        "JIRA_API_TOKEN": "your-token"
      }
    }
  }
}

Authentication

Supported methods:

• API Token (Jira/Confluence Cloud): JIRA_API_TOKEN, CONFLUENCE_API_TOKEN
• Personal Access Token (Server/Data Center): JIRA_PERSONAL_TOKEN, CONFLUENCE_PERSONAL_TOKEN
• OAuth 2.0 (Cloud): run docker run --rm -it mcp-security-review:latest --oauth-setup

HTTP Transport

Run as a persistent HTTP service instead of stdio:

# Streamable HTTP (recommended)
docker run --rm -p 8000:8000 mcp-security-review:latest --transport streamable-http

# SSE
docker run --rm -p 8000:8000 mcp-security-review:latest --transport sse

Security Guidelines

Includes 101 OWASP Cheat Sheets loaded automatically into security assessments. Add your own org-specific guidelines:

python3 scripts/add_custom_guideline.py

Or manually create markdown files in src/mcp_security_review/security/guidelines/docs/:

category: your_category
priority: high
tags: tag1, tag2, tag3

# Your Guideline Title
...

See docs/ADDING_CUSTOM_GUIDELINES.md for details.

Contributing

1. Check CONTRIBUTING.md for development setup.
2. Make changes and submit a pull request.

Pre-commit hooks enforce code quality (Ruff, Prettier, Pyright). Run uv run pytest before submitting.

Security

Never commit API tokens. See SECURITY.md for best practices.

License

Licensed under MIT — see LICENSE.