Qwen Coding Engine
Qwen Engineering Engine (The Lachman Protocol)
Are you building complex applications, only to find that AI hallucinations are eating your entire afternoon?
You know the loop: You ask Claude or Cursor to fix a bug. It gives you a snippet. It breaks something else. You paste the error back. It forgets the original architecture and responds with "// ... rest of your code here". What started as a 5-minute feature turns into a 3-hour circular debugging nightmare.
If this engine actually works, you are saved.
The Qwen Engineering Engine (powered by the Lachman Protocol) completely stops the "two steps forward, one step back" dance. Instead of relying on a single, forgetful LLM to do everything, this MCP Server deploys a dedicated, specialized squad of Qwen models to your local codebase:
- Zero Placeholders: The dedicated
qwen_codetool writes 100% complete, production-grade files. No lazy snipping. - Deep Debugging: Instead of pasting logs to Claude, the
qwen_audittool unleashes QwQ (Qwen's reasoning model) to act as your Senior Auditor. It reads the files, finds the memory leak, and tells you exactly what failed. - Architectural Immunity: Before writing code, the 'qwen_architect' drafts a JSON roadmap and self-verifies it against your stack. If it's a bad idea, it rejects it before breaking your app.
Why Qwen?
Because running an entire squad of GPT-4o or Claude 3.5 Opus models to constantly rewrite files would cost you $50 a day. By routing this heavy lifting through Alibaba's DashScope API (Qwen 3.5 Plus & Qwen 2.5 Coder 32B), the cost is literal fractions of a cent.
Let your main assistant (Claude/Antigravity/Cursor) be the Commander. Let the Qwen Engine do the heavy lifting in the trenches.
Stop chatting. Start shipping.
Server Config
{
"mcpServers": {
"qwen-coding": {
"command": "uv",
"args": [
"--directory",
"C:\\path\\to\\qwen-coding-engine",
"run",
"qwen-coding-engine"
],
"env": {
"DASHSCOPE_API_KEY": "your_api_key_here",
"LP_MAX_RETRIES": "3"
}
}
}
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