by Shelpuk-AI-Technology-Consulting · MCP Server · ★ 22
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. If you like what we're building, pleas
| Stars | 22 |
| Forks | 5 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.5520087414352/100 |
| Last Updated | 2026-05-27 |
| Created | 2026-01-14 |
| Platforms | claude-code, codex, gemini, mcp, python |
| Est. Tokens | ~44k |
These tools work well together with lad_mcp_server for enhanced workflows:
Explore other popular mcp server tools:
lad_mcp_server is 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.. It is categorized as a MCP Server with 22 GitHub stars.
lad_mcp_server is primarily written in Python. It covers topics such as ai, ai-agents, claude-code.
You can find installation instructions and usage details in the lad_mcp_server GitHub repository at github.com/Shelpuk-AI-Technology-Consulting/lad_mcp_server. The project has 22 stars and 5 forks, indicating an active community.
lad_mcp_server is released under the MIT license, making it free to use and modify according to the license terms.