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Lad Mcp Server

AI community

Description

Lad MCP Server: Autonomous code & system design review for AI coding agents (Claude Code, Cursor, Codex, etc.). Features multi-model consensus via OpenRouter and context-aware reviews via Serena.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Improve AI-generated code quality by 20%

**Project-aware AI code review for AI coding agents.**

Lad is a part of the **[Shelpuk AI Technology Consulting](https://shelpuk.com) agentic suite** – a set of tools that together improve the code quality produced by AI coding agents by **15–20%**. [Read more on Claude Code generation quality improvement](https://shelpuk.com/en/blog/how-to-increase-claude-code-generation-quality-by-20-percent/).

Works with **Claude Code**, **Codex**, **Antigravity**, **Cursor**, **Windsurf**, and any agent that supports skills or MCP servers.

Component Role
tdd Enforces TDD, requirements discipline, and peer review for every coding task
Serena Semantic code navigation + persistent project memory
Kindly Web Search Up-to-date API and package documentation via web search
Lad MCP Server ← you are here Project-aware AI design and code review

If you like what we're building, please ⭐ **star this repo** – it's a huge motivation for us to keep going!

How to use the suite

**1. Install three MCP servers and one skill:**

**2. Use the skill when requesting a feat