Webasyst MCP Toolkit: AI-Powered Framework Automation Suite for Modern App Development

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🚀 The Ultimate Orchestrator for Webasyst Ecosystem Intelligence

Welcome to the Webasyst MCP Toolkit — a paradigm-shifting repository that transforms how developers interact with the Webasyst framework through Model Context Protocol (MCP) integration. This is not just another plugin generator; it is a cognitive bridge between human intent and machine execution, designed for developers who demand precision, speed, and architectural elegance.

Think of this toolkit as a digital architect's blueprint — where every command becomes a structural pillar, every API call a beam, and every UI component a window into seamless functionality. Built for the 2026 development landscape, this suite empowers you to build, audit, and optimize Webasyst applications with AI-driven workflows that feel almost prescient.

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📥 Quick Start: Download & Installation

Prerequisites

• Node.js 20.x or higher (for MCP server runtime)
• Webasyst framework instance (local or remote)
• OpenAI API key or Claude API key

Installation Steps

1. Clone the repository or download the latest release
2. Run npm install to resolve dependencies
3. Configure your MCP server using the example profile below
4. Launch the server with npm start

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📊 Architecture Overview (Mermaid Diagram)

graph TD
    A[Developer IDE / Terminal] --> B[MCP Client]
    B --> C{Webasyst MCP Server}
    C --> D[App Generator]
    C --> E[Plugin Architect]
    C --> F[Theme Composer]
    C --> G[UI Auditor]
    C --> H[Component Library]
    D --> I[Webasyst API Layer]
    E --> I
    F --> I
    G --> I
    H --> I
    I --> J[Database]
    I --> K[File System]
    I --> L[Cache Layer]
    M[OpenAI API] --> C
    N[Claude API] --> C

What you're seeing: A living ecosystem where every tool connects through the MCP protocol, creating a unified command center for all Webasyst operations. The diagram illustrates how AI models (OpenAI, Claude) serve as the reasoning engine, while the MCP server translates those insights into executable framework commands.

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⚙️ Example Profile Configuration

Create a .mcp-config.json file in your project root to personalize the toolkit behavior:

{
  "server": {
    "port": 3100,
    "host": "localhost",
    "protocol": "mcp-v2"
  },
  "webasyst": {
    "instanceUrl": "https://your-webasyst-instance.com",
    "apiKey": "your-api-key-here",
    "frameworkVersion": "2.4.0"
  },
  "aiProvider": "openai",
  "openai": {
    "model": "gpt-4-turbo-2025",
    "temperature": 0.3,
    "maxTokens": 4096
  },
  "claude": {
    "model": "claude-3-opus-2025",
    "temperature": 0.2,
    "maxTokens": 8192
  },
  "features": {
    "autoAudit": true,
    "multilingualUI": true,
    "responsiveCheck": true
  }
}

Why this matters: This configuration acts as the DNA of your development environment. It tells the toolkit which AI brain to use, how to communicate with your Webasyst instance, and which quality gates to enforce automatically. The temperature parameter is your creativity dial — keep it low for deterministic code generation, higher for more experimental patterns.

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💻 Example Console Invocation

Fire up the MCP server and start building with natural language:

# Launch the MCP server with your profile
npx webasyst-mcp-server --config .mcp-config.json

# In another terminal, connect via MCP client
mcp-cli invoke "Generate a multilingual shopping cart plugin with responsive UI