Fossil MCP Code Quality Toolkit

Example Use Cases

• 1

  Detect and remove dead or unreachable code in AI-generated projects.

• 2

  Find duplicated or structurally similar code clones across multiple files and languages.

• 3

  Identify scaffolding artifacts and temporary files left by AI coding sessions.

Description

Fossil MCP is a static analysis toolkit designed specifically for projects heavily written by AI (vibe coding). It detects dead code, duplicated logic, scaffolding artifacts, and temporary files across 16 programming languages. The tool runs as a CLI and MCP server, providing AI agents with a call graph for better code understanding and refactoring. It improves code quality by exposing hidden issues that traditional linters miss, saving developer time and reducing costs.