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lad_mcp_server
Shelpuk-AI-Technology-Consulting January 14, 2026
22 copies 0 downloads
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.
Agent Definition
# 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](https://github.com/Shelpuk-AI-Technology-Consulting/agent-skill-tdd) | Enforces TDD, requirements discipline, and peer review for every coding task | | [Serena](https://github.com/oraios/serena) | Semantic code navigation + persistent project memory | | [Kindly Web Search](https://github.com/Shelpuk-AI-Technology-Consulting/kindly-web-search-mcp-server) | 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:** - [Serena](https://github.com/oraios/serena) - [Kindly Web Search](https://github.com/Shelpuk-AI-Technology-Consulting/kindly-web-search-mcp-server) - [Lad MCP Server](https://github.com/Shelpuk-AI-Technology-Consulting/lad_mcp_server) - [tdd](https://github.com/Shelpuk-AI-Technology-Consulting/agent-skill-tdd) **2. Use the skill when requesting a feat
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