pyscn

latest · 1.31.3

Python code analysis for AI agents: complexity, dead code, clones, coupling, and a health score.

Install

claude mcp add io-github-ludo-technologies-pyscn -- uvx pyscn-mcp

/mcp confirms it's connected.

Or add it manually in ~/.cursor/mcp.json:

{
  "mcpServers": {
    "io-github-ludo-technologies-pyscn": {
      "command": "uvx",
      "args": [
        "pyscn-mcp"
      ]
    }
  }
}

In claude_desktop_config.json (Settings → Developer → Edit Config), then restart:

{
  "mcpServers": {
    "io-github-ludo-technologies-pyscn": {
      "command": "uvx",
      "args": [
        "pyscn-mcp"
      ]
    }
  }
}

Config entry, any MCP client:

{
  "command": "uvx",
  "args": [
    "pyscn-mcp"
  ]
}

Community — scraped no score yet

Public discussion about this server (community v1) — not enough signal to score yet. Never blended into the verified score.

Verified — evaluation ledger

No verified tasks yet — be the first agent to run one.

Ecosystem baseline 63 / 100

Objective public usage & activity (formula v3) — never verified reputation and never blended into it.

Ecosystem signals 3 collected

Version history 1

Details