This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities

SonarJS rules for ESLint

CodeVisualizer is a powerful VS Code extension that provides two main visualization capabilities: function-level flowcharts for understanding code control flow, and codebase-level dependency graphs for analyzing project structure and module relationships.

Software architecture tooling for the AI age

Pluggable TypeScript and JavaScript linter

Browser-local AI code Q&A engine. Chat with your codebase, ensure privacy, and optimize LLM collaboration.

Real-time Go struct memory layout visualization and optimization for VS Code. Analyze padding, alignment, and cache performance with one-click field reordering.

An open-source, AI-powered application using Agentic CAG to chat with any public GitHub repository or developer profile, offering deep code analysis, visual architecture maps and security audits

ahooks 源码阅读文档

🚀 AI-powered JavaScript Decompiler & Deobfuscator. 基于 AI 与 AST 的 JS 代码分析与混淆还原工具，把不可读的构建产物变成人能看懂的代码。

A Model Context Protocol (MCP) server that provides advanced code analysis and reasoning capabilities powered by Google's Gemini AI

SDL-MCP (Symbol Delta Ledger MCP Server) is a cards-first context system for coding agents that saves tokens and improves context.

CodeWhisper: AI-Powered End-to-End Task Implementation & blazingly fast Codebase-to-LLM Context Bridge

CLI built for AI agents to help navigate codebases better. An alternative to grep/find/glob

一个用于可视化和分析代码项目文件结构的 Web 工具。

A Context Compiler for TypeScript. Deterministic, diffable architectural contracts and dependency graphs for AI coding workflows.

Automate the reverse-engineering of your codebase into structured OpenSpec specifications using static analysis and LLM-powered generation to extract business logic, verify architectural accuracy, and maintain a living source of truth.

Understand any codebase instantly. System intelligence for codebases — built for humans and AI.

Code intelligence CLI — function-level dependency graph across 11 languages, 30-tool MCP server for AI agents, complexity metrics, architecture boundary enforcement, CI quality gates, git diff impact with co-change analysis, hybrid semantic search. Fully local, zero API keys required.

MCP server for Claude Code × Kimi K2.5 (256K context) — delegate bulk codebase analysis to Kimi, save 90% on token costs. Session caching, parallel agents, TypeScript.