pecorino

lechibang-1512/pecorino
★ 0 stars Python AI/LLM Updated today
mcp server for code indexing and code quality metrics
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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "pecorino": {
      "command": "uvx",
      "args": [
        "pecorino"
      ]
    }
  }
}

Or install with pip: pip install pecorino

README Excerpt

A Model Context Protocol (MCP) server for deep Git history statistics, repository health tracking, and Object-Oriented Design (OOD) metrics analysis. Pecorino allows Large Language Models (LLMs) and dev tools (such as Claude Desktop or Cursor) to inspect codebases, analyze code structures, compute complexity/maintainability indexes, and detect risk hotspots.