Lzx Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Lzx Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
这是一个用于学习目的的简单 MCP (Model Context Protocol) Server 演示项目。
MCP (Model Context Protocol) 是一个开放协议，允许 AI 应用程序（如 Claude）与外部工具和数据源进行通信。通过 MCP，你可以：
这个 demo MCP server 提供了三个简单的工具：
.
├── demo_mcp_server.py # MCP server 主程序
├── pyproject.toml # Python 项目配置
├── claude_desktop_config.json # Claude Desktop 配置示例
└── README.md # 本文件使用 uv（推荐）：
uv pip install -e .或使用 pip：
pip install -e .你可以直接运行 server 来测试它：
demo-mcp-server或者使用 Python 运行：
python demo_mcp_server.py要配置 Claude Code 使用这个 MCP server，你需要编辑 Claude Code 的配置文件。
Claude Code 配置文件位置：
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json~/.config/Claude/claude_desktop_config.json在配置文件中添加以下内容：
{
"mcpServers": {
"demo-server": {
"command": "uv",
"args": [
"--directory",
"/Users/bytedance/workingspace/lzx-mcp",
"run",
"demo-mcp-server"
]
}
}
}或者如果你使用的是系统 Python：
{
"mcpServers": {
"demo-server": {
"command": "demo-mcp-server"
}
}
}注意：将 /Users/bytedance/workingspace/lzx-mcp 替换为你的实际项目路径。
配置完成后，重启 Claude Code 以加载新的 MCP server。
重启后，你可以在 Claude Code 中这样使用：
请帮我计算 123 乘以 456
获取当前时间
分析这段文本的文字统计：Hello, this is a demo of the MCP server!# 1. 创建 Server 实例
app = Server("demo-mcp-server")
# 2. 列出可用工具
@app.list_tools()
async def list_tools() -> list[Tool]:
# 返回所有可用工具的描述
return [...]
# 3. 处理工具调用
@app.call_tool()
async def call_tool(name: str, arguments: dict):
# 根据 tool name 路由到相应的处理函数
...
# 4. 运行 server
async def main():
async with mcp.server.stdio.stdio_server() as (read_stream, write_stream):
await app.run(read_stream, write_stream, ...)想要添加更多工具？只需：
list_tools() 中添加新的 Tool 定义call_tool() 中添加对应的处理函数示例：添加一个新的工具来获取天气信息
Tool(
name="get_weather",
description="Get current weather for a city",
inputSchema={
"type": "object",
"properties": {
"city": {"type": "string", "description": "City name"},
},
"required": ["city"],
},
)MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.