MCP Performance Analysis Server

A server for detecting critical performance issues in code, providing concise analysis and output.

git clone [email protected]:DaSheng1994/mcp_analyze_quality.git cd mcp_analyze_quality

# 创建虚拟环境 python3 -m venv .venv source .venv/bin/activate # Linux/macOS # 安装依赖 pip install -r requirements.txt

{ "mcpServers": { "performance-analyzer": { "command": "/path/to/your/project/.venv/bin/python", "args": ["/path/to/your/project/main.py"], "cwd": "/path/to/your/project" } } }

分析这个性能数据：http://localhost:8000/meminfo.csv

# 在服务器上部署 git clone [email protected]:DaSheng1994/mcp_analyze_quality.git cd mcp_analyze_quality python3 -m venv .venv source .venv/bin/activate pip install -r requirements.txt # 启动服务（后台运行） nohup python main.py > mcp.log 2>&1 & nohup python3 -m http.server 8000 > http.log 2>&1 &

{ "mcpServers": { "performance-analyzer": { "command": "ssh", "args": ["your-server", "cd /path/to/mcp_analyze_quality && .venv/bin/python main.py"], "env": {} } } }

分析这个性能数据：http://your-server-ip:8000/meminfo.csv

- 严重问题检测: 专注于识别需要立即处理的严重性能问题
- 简洁输出: 只返回严重警告信息，避免信息过载
- 智能分析: 基于预定义规则进行精准判断
- 易于集成: 轻量级MCP服务器，快速部署

- 物理内存警告: VmRSS超过1.3GB时触发
- Views数量警告: Views增长超过700个时触发

可以通过修改.cursor/rules/quality-rules.mdc文件来自定义分析规则。

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