#vibecoding

Simple MCP Server w/ Shell Exec. Connect to Local via Ngrok, or Host Ubuntu24 Container via Docker

A MCP server to help with Vibecoding

Databutton MCP Server

The definitive Vibe Coder's sanity check MCP server: Prevent cascading errors in AI workflows by implementing strategic pattern interrupts. Uses tool call "Vibe Check" with LearnLM 1.5 Pro (Gemini API), fine-tuned for pedagogy and metacognition to enhance complex workflow strategy, and prevents tunnel vision errors.

X/Twitter MCP server

The llm_to_mcp_integration_engine is a communication layer designed to enhance the reliability of interactions between LLMs and tools (like MCP servers or functions).

Code intelligence MCP server that makes AI coding safer. Builds a dependency graph of your entire codebase so Claude, Cursor, or any MCP client knows what breaks before making changes. 60+ tools for impact analysis, health scoring, dead code detection, and architecture enforcement. Built for vibecoders who ship fast and teams who need reliability. Supports Python, TypeScript, JavaScript.

Stop letting AI hallucinations eat your hours. With this engine, your work flows smoothly while a full SRE squad of models codes and debugs on your behalf. 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_coder tool writes 100% complete, production-grade files. No lazy snipping. - Deep Debugging: Instead of pasting logs to Claude, the qwen_audit tool 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.

Stop AI coding disasters before they cost you weeks. Real-time anti-pattern detection for vibe coders who love AI tools but need a safety net to avoid expensive overengineering traps.

Simple MCP Server w/ Shell Exec. Connect to Local via Ngrok, or Host Ubuntu24 Container via Docker

Vibe coding should have human in the loop! interactive-mcp: Local, cross-platform MCP server for interact with your AI Agent

Build and automate your own AI team. Just like building a website with vibe coding, build your AI team the same way. Automation, analytics, execution — your custom AI agents handle it all for you. Zentrun lets you vibe-code real, executable AI agents. With a single sentence, you create actions that run, remember, analyze, and evolve — powered by MCP and designed for automation at scale.