mcp-code-reviewer
A code review MCP server built on FastMCP, supporting security audit, style check, complexity analysis, and bug pattern detection for Python code.
README
mcp-code-reviewer
基于 FastMCP 构建的代码审查 MCP Server,支持对 Python 代码进行安全审查、风格检查、复杂度分析和 Bug 模式检测。
功能特性
| 工具 | 说明 | 输入 | 输出 |
|---|---|---|---|
review_code |
全面代码审查 | code + language | Markdown 报告 (安全+风格+复杂度+Bug) |
check_security |
安全漏洞检测 | code + language | Markdown 安全报告 |
analyze_complexity |
圈复杂度分析 | code + language | Markdown 复杂度报告 |
suggest_fixes |
自动修复建议 | code + issue_type | Markdown 修复方案 |
review_diff |
Git Diff 增量审查 | diff + language | Markdown Diff 报告 |
检测能力
- 安全审查: SQL注入、命令注入、
exec/eval、pickle.loads、硬编码密钥、SSRF、不安全的yaml.load - 风格检查: 行过长 (>120字符)、缺失 docstring、命名规范、魔法数字、未使用 import、尾随空格
- 复杂度分析: 圈复杂度 (McCabe)、函数长度、嵌套深度、参数数量、返回语句数量
- Bug 检测: 可变默认参数、除零风险、类型不匹配 (str+int)、循环中修改列表、裸露 except
快速开始
前置要求
- Python 3.10+
- uv (推荐) 或 pip
安装
# 克隆仓库
git clone https://github.com/your-username/mcp-code-reviewer.git
cd mcp-code-reviewer
# 使用 pip 安装依赖
pip install -r requirements.txt
# 或使用 uv
uv sync
运行
# 直接运行
python server.py
# 使用 uv
uv run python server.py
MCP 客户端配置
将以下配置添加到你的 MCP 客户端配置文件中:
Cursor
{
"mcpServers": {
"code-reviewer": {
"command": "uv",
"args": ["run", "--directory", "/path/to/mcp-code-reviewer", "server.py"]
}
}
}
Claude Desktop
{
"mcpServers": {
"code-reviewer": {
"command": "uv",
"args": ["run", "--directory", "/path/to/mcp-code-reviewer", "server.py"]
}
}
}
VS Code (vscode-mcp)
{
"servers": {
"code-reviewer": {
"type": "command",
"command": "uv",
"args": ["run", "--directory", "/path/to/mcp-code-reviewer", "server.py"]
}
}
}
注意: 将
/path/to/mcp-code-reviewer替换为实际的项目路径。
使用示例
全面代码审查
# 完整的 MCP 工具调用
review_result = await mcp.call_tool("review_code", {
"code": '''
def process(data):
import subprocess
subprocess.run("rm -rf " + data, shell=True)
return data
''',
"language": "python"
})
安全审查
result = await mcp.call_tool("check_security", {
"code": 'eval(user_input)',
"language": "python"
})
Git Diff 审查
result = await mcp.call_tool("review_diff", {
"diff": """
diff --git a/app.py b/app.py
+import os
+os.system("rm -rf /tmp")
""",
"language": "python"
})
项目结构
mcp-code-reviewer/
├── server.py # MCP Server 主程序
├── reviewers/
│ ├── __init__.py
│ ├── security.py # 安全检查器
│ ├── style.py # 代码风格检查
│ ├── complexity.py # 复杂度分析
│ └── bugfinder.py # Bug 模式检测
├── tests/
│ ├── __init__.py
│ ├── test_security.py
│ ├── test_style.py
│ ├── test_complexity.py
│ └── test_bugfinder.py
├── requirements.txt
├── pyproject.toml
├── .gitignore
└── README.md
运行测试
# 运行所有测试
pytest
# 运行特定测试文件
pytest tests/test_security.py -v
# 生成覆盖率报告
pytest --cov=reviewers --cov-report=term-missing
支持的资源
MCP Server 提供了以下只读资源:
reviewer://languages- 支持的语言列表reviewer://metrics- 审查指标说明reviewer://about- 关于信息
许可证
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.