CreateMVP is a full-stack AI application designed to rapidly generate project prototypes and detailed implementation plans from user requirements. It targets developers and product managers seeking to accelerate the initial stages of software development, offering a comprehensive suite of AI-powered tools for planning and ideation.

How It Works

The platform leverages advanced AI models, including Gemini 2.5 Pro and GPT-4.1, to process user briefs or PDF documents and output detailed technical specifications, architecture diagrams, user flows, task breakdowns, and PRDs. It features a multi-model chat console for local API key management and an AI tool comparison hub. The core advantage lies in its ability to provide highly detailed, context-rich project plans in minutes, significantly boosting initial development efficiency.

Quick Start & Requirements

• Install: Clone the repository, run npm install.
• Prerequisites: Node.js (v20+), PostgreSQL database (or Supabase).
• Configuration: Create a .env file with DATABASE_URL, NODE_ENV, PORT, and AI API keys (OpenAI, Anthropic, Google).
• Database Setup: Run npm run db:push.
• Start: Run npm run dev for development, npm run build and npm run start for production.
• Docs: Demo Video

Highlighted Details

• AI Plan Generator uses Gemini 2.5 Pro for detailed implementation plans (4x more detailed than previous versions).
• Multi-model Chat Console supports GPT-4.1, Claude 3.7 Sonnet, Gemini 2.5 Pro with local API key management.
• Includes an AI Tool Comparison Hub with 100+ dev-centric AI tools.
• Supports community-maintained MCP Servers and Cursor/Windsurf rules for IDE enhancement.

Maintenance & Community

The project is open-source and welcomes contributions via pull requests. Specific contribution guidelines are provided for MCP Servers and Windsurf/Cursor rules.

Licensing & Compatibility

Licensed under the Apache 2.0 License, allowing for unrestricted self-hosting and forking, making it compatible with commercial and closed-source projects.

Limitations & Caveats

The project requires users to provide their own API keys for the various AI models, which incurs costs. While the setup is detailed, managing multiple API keys and ensuring correct .env configuration is crucial for full functionality.