MCP低风险未认领
pyscn
Python code analysis for AI agents: complexity, dead code, clones, coupling, and a health score.
ludo-technologiesludo-technologies/pyscn
server.json
{
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"name": "io.github.ludo-technologies/pyscn",
"description": "Python code analysis for AI agents: complexity, dead code, clones, coupling, and a health score.",
"title": "pyscn",
"repository": {
"url": "https://github.com/ludo-technologies/pyscn",
"source": "github"
},
"version": "1.32.3",
"websiteUrl": "https://pyscn.ludo-tech.org",
"packages": [
{
"registryType": "pypi",
"identifier": "pyscn-mcp",
"version": "1.32.3",
"transport": {
"type": "stdio"
},
"environmentVariables": [
{
"description": "Path to a .pyscn.toml configuration file. Defaults to the usual config discovery (.pyscn.toml, then pyproject.toml) starting from the analyzed directory.",
"format": "filepath",
"name": "PYSCN_CONFIG"
}
]
}
]
}权限
声明检测
运行代码—
python安装—
pypi:pyscn-mcp@1.32.3安装时运行脚本—无
网络无无
需要的凭据无无
工作区外的路径—无
智能体工具—无
检查
低风险 · 没有发现需要提醒的地方。
未经人工审核 · 已做规则检查;模型审核尚未开启。
版本
- #11.32.3最新2026年10月7日
pyscn在 Codeg 中打开