Webix 11.4 Released Read More New Features in Core, Kanban & Rich Text Editor, plus a Powerful SpreadSheet Update

AI-Assisted Coding
with Webix MCP Server

Build Webix applications faster with AI coding assistants and the Webix MCP Server. Generate production-ready apps using natural language and improve code quality with real-time access to the latest Webix documentation.
javascript
Compatible with all major LLMs:

AI-Powered Webix Development

AI-assisted development is a popular practice to build apps by describing your ideas to AI in natural language. So you can build a fully working app without writing a single line of code, just because Webix is designed for this workflow thanks to its declarative architecture and consistent APIs.

Why Webix is AI-Production Ready UI Library

Webix provides AI-ready JavaScript UI components that make AI-assisted coding reliable and predictable. Its consistent APIs, declarative structure, and strong TypeScript typings help AI coding assistants like ChatGPT, Claude, and GitHub Copilot generate working code every time.
Declarative JSON UI Configuration
Webix UI interfaces are described as predictable JSON-like configs, which makes it trivial for AI coding assistants to output valid, working UI code every time.
Consistent APIs and patterns
Webix consistent configs, events, and data handling, making AI-assisted coding more reliable. This consistency boosts efficiency and reduces errors in AI-assisted development.
TypeScript typings
Type definitions help LLMs understand Webix component parameters, events, and methods, reducing hallucinations and improving AI-assisted development workflows.
Instant verification with Snippet Tool
The Webix Snippet Tool for validating outputs from AI coding assistants, and other AI coding tools lets you paste AI-generated code and run it instantly and test without any setup.

Eliminate AI Hallucinations with the Webix MCP Server

The Missing Piece: Real-Time Documentation

We know that most AI assistants generate code from their training data, which may not include the latest Webix APIs.
That's why we built the Webix MCP Server, which solves this by giving AI assistants real-time access to the latest documentation updates, live examples, and API references while they generate code.
Without MCP
Model memory
May use old APIs
Limited knowledge
Possible hallucinations
Generic examples
With Webix MCP
Live documentation
Latest APIs
Full library
Verified responses
Webix-specific examples

How the Webix MCP Server Works

Webix MCP Server interaction workflow is simple as is: your prompt triggers the agent, the agent queries the MCP, and live docs are fetched with RAG from our knowledge base. Every answer is then built based on that real-time data.
Webix MCP Server Interaction RAG-based Workflow
Webix MCP Server Interaction RAG-based Workflow

What the Webix MCP Server Provides

Real-time API
Access the latest Webix APIs, including all complex widgets, events, and configuration options
Less hallucination
AI retrieves authoritative documentation instead of relying on outdated training data
Better code quality
Ask about any Webix widget in natural language and receive accurate examples
Faster development
Work faster with your favorite AI IDE with real-time documentation and the latest APIs

Supported IDEs

Connect to MCP Server in Under a Minute

Claude Code
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claude mcp add --transport http webix-mcp https://docs.webix.com/mcp

Cursor
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{
  "mcpServers": {
    "webix-mcp": {
      "url": "https://docs.webix.com/mcp"
    }
  }
}
                  
Antigravity
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{
  "mcpServers": {
    "webix-mcp": {
      "serverUrl": "https://docs.webix.com/mcp"
    }
  }
}
                  

Webix UI Components for AI-Assisted Coding

Webix includes a full set of JavaScript UI components that are perfectly optimized for AI-assisted development. With AI-ready components built for clarity and structure, your prompts turn into working apps: no manual setup required.

Quick Guide: Writing Prompts for Better AI Results

For quick prototyping, evaluation, or getting started, you can keep prompts simple and describe what you want in plain language. For production-ready interfaces, craft clear, detailed prompts. Get the most out of AI-assisted coding by writing structured, detailed prompts.

Here’s how to improve AI workflows with Webix:

01
Start with context and tech stack:
  • "Generate clean JavaScript code that creates a Task Management System interface."
  • "Use Webix UI library and build as a single webix.ui instance."
02
Describe the core layout:
  • "Create a structure with a form on the left, and a list
    on the right."
  • "Place a toolbar on the top row, split view below with sidebar and content area."
03
Specify Webix components:
  • "Create a form with data fields and two buttons:
    Save and Clear."
  • "Create a list for displaying tasks."
04
Detail each component's content:
  • "The form must contain the following fields: Task title (text), Assignee (select), ..."
  • "Items in the list must display the fields from the dataset: ..."
05
Specify interactions:
  • "The Clear button must clear the form and reset selection
    in the list."
  • "Click on a row selects it. Data of the selected row should be loaded into the form for editing."
06
Add functional requirements:
  • "Validate the data before saving: the Assignee must
    not be empty."
  • "Add a new row to the datatable, then clear the form."

AI Prompt Template: Generate UIs with Webix

Prompt
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Context and Technology Stack

Goal: Create a [e.g., project management dashboard, user registration form, issue reporting tool].
Technology: Generate a runnable code snippet using modern ES6+ JavaScript and the Webix UI library.

Layout and Components:
- Structure: The main layout should be organized as [a header with a logo, a left sidebar for navigation, and a central viewport for content].
- Key components: The UI must include the following components: [a datatable, a form with inputs, a toolbar with buttons]
- Individual settings: a [datatable] must have [listed columns, their sorting modes, in-column filters, etc.].

Behaviour and interactions:
- Interactions: When a user [clicks a row in the table], the application should [load the row's data into the form for editing].
- Data operations: The ["Save"] button should [validate the form and then update the data in the table].
- Other logic: [A search input should filter the table's data based on a partial match in the "name" and "email" columns].

Styling (optional):
- Specify data templates (for example, in datatable columns): colors, fonts, spacing if needed.
- Define layout types, paddings and margins in UI settings.

From Prompt to Webix Working App in 60 Seconds

Copy and customize the prompt above
Paste it into any AI coding assistant
Run the generated code in the Webix Snippet Tool
Refine the result with natural language

LLM Coding Experiments: 8 LLMs, 16 Code Outputs

We tested AI-assisted coding with Webix across eight of the most advanced models: Grok4, GPT-5, Claude Opus 4.1, Gemini 2.5 Pro, Claude Sonnet 4.5, OpenAI o3, DeepSeek V3.2, Qwen3 Max. Every single one generated working code in seconds. Check out the runnable results below by clicking on the card.

Simple prompt
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Use Webix to create an order management system with a table and form.

Advanced prompt
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You are an expert frontend developer using the Webix UI library.
Generate clean JavaScript code that creates an Order Management System interface.
Use modern ES6 syntax and format the code neatly as if formatted by Prettier.
The entire interface must be defined within a single `webix.ui({})` call and include the following parts:

1. Layout
Create a structure with a toolbar at the top, a form on the left, and a datatable on the right.

2. Toolbar
Include a text input for searching orders (filters the datatable by customer name) and a button labeled "Export to Excel" that exports datatable content to Excel.

3. Left Side (Form)
Create a form containing: Customer (text), Amount (numeric), Status (select with options Pending, Shipped, Completed), Date (datepicker), and Notes (textarea).
Below the fields, add Save and Clear buttons. The form must validate that Amount if bigger than 0 and Status is required when the Save button is clicked.
If form is valid, check if a row is selected: if yes, update the selected row with form data, if not - add a new row to the datatable. Then clear the form.

4. Right Side (Datatable)
Create a datatable with columns: ID, Customer, Amount, Status, and Date.
The Status column should display colored badges: Pending (yellow), Shipped (blue), Completed (green).
Selecting a row loads its data into the form for editing.

See Gemini 2.5 Generate Webix Interfaces

Even a simple prompt produced fully working code. A detailed prompt specifying layout, fields, interactions, status badges, and export features generated the interface exactly as intended. Clear and specific prompts help AI assistants create UIs faster and more precisely.

Simple prompt
Detailed prompt

Prefer visual development with full control?
Try Webix UI Designer

Visually prototype layouts, export production code, and iterate faster
without writing much code.

Frequently Asked Questions About AI Coding & MCP

What is an MCP server?

An MCP server (Model Context Protocol) is designed to connect AI assistants to external data sources in real time. This allows the AI to retrieve the latest documentation, APIs, and examples directly from the source, instead of relying on training data. Using an MCP server in this way reduces errors and hallucinations and generates more accurate and relevant code when the agent responds to AI coding prompts.

Is Webix MCP built on RAG?

The Webix MCP Server's core, built on Retrieval-Augmented Generation (RAG), allows agents to perform both dense and sparse types of search when connected to it, improving the quality of the response when generating. The RAG approach involves extracting relevant information from external sources to enrich and improve the response generation process and reduce hallucinations.

Does Claude Code, Cursor, Codex support the Webix MCP Server?

Yes. Webix works well with all modern AI agents, including ChatGPT, Claude Code, Cursor, Antigravity Google, GitHub Copilot, and more. There are some small differences in how ones interact with Model Context Protocol: Claude Code and Cursor natively support it, while ChatGPT needs an additional environment (connectors or "apps"). But in general all AI coding assistants can receive the latest documentation, APIs, and examples in real time by connecting to Webix MCP.

Can AI generate Webix code without MCP?

Yes, absolutely. AI assistants can generate Webix code without MCP, using their built-in knowledge of the library. Connecting to the Webix MCP server gives them extra benefits: access to the latest documentation, APIs, and examples, which improves the quality of the response and guarantees the accuracy of the generated code.

Does Webix MCP Server have access to my sensitive data?

Webix MCP Server is a cloud-based solution that doesn't run locally, and it doesn't have access to local files, projects, or sensitive data. However, we do collect request logs for debugging and improving the user experience in future versions.

What do I need to get started with the Webix MSP Server?

The server is available to all Webix users, regardless of license purchases. You can start AI coding with Webix MCP Server without any additional setup overhead. Simply follow our detailed guide depending on your preferred AI agent and get started with AI-assistant coding with Webix.