FileScopeMCP

admica
173
Analyzes your codebase identifying important files based on dependency relationships. Generates diagrams and importance scores per file, helping AI assistants understand the codebase. Automatically parses popular programming languages such as Python, C, C++, Rust, Zig, Lua.

Overview

FileScopeMCP Introduction

FileScopeMCP is a TypeScript-based tool designed to analyze your codebase by identifying important files based on their dependency relationships. It generates importance scores and visual diagrams to help AI assistants understand the structure of the codebase.

How to Use

To use FileScopeMCP, integrate it into your development environment. Run the analysis on your codebase to generate importance scores and dependency maps. Utilize the provided visualizations and summaries to enhance your understanding of the code structure.

Key Features

Key features of FileScopeMCP include file importance analysis with a scoring system, bidirectional dependency tracking, and visualization capabilities using Mermaid diagrams. It supports multiple programming languages such as Python, C, C++, Rust, Zig, and Lua.

Where to Use

FileScopeMCP can be used in software development environments, particularly in projects with complex codebases where understanding file relationships and dependencies is crucial for maintenance and collaboration.

Use Cases

Use cases for FileScopeMCP include optimizing code review processes, enhancing onboarding for new developers, and improving overall code quality by identifying critical files and their dependencies.

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