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lad_mcp_server
Shelpuk-AI-Technology-Consulting January 14, 2026
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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.
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 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.
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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