Lad Mcp Server
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
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