Syncfusion® WinUI AI Coding Assistants Release Notes

This document provides information about the changes and new features included in each version of the Syncfusion WinUI AI Coding Assistants, including the Syncfusion.WinUI.MCP MCP Server, Skills, Agentic UI Builder and so on.

MCP Server

(v2.0.0) - September 7, 2026

Breaking Changes

  • Updated the MCP server to support the latest 2026-07-28 Model Context Protocol (MCP) specification, ensuring compatibility with the newest protocol standards and capabilities.

(v1.0.0) - August 3, 2026

Feature

  • The Syncfusion.WinUI.MCP .NET packages is now available on NuGet, enabling seamless integration of Syncfusion WinUI controls with MCP-based workflows.
  • Introduced the search_docs coding assistant tool, which provides contextual documentation, code samples, API guidance, and configuration examples for Syncfusion controls directly within the development workflow.

Skills

Features

  • Introduced Agent Skills — a set of lightweight, modular capabilities that extend the AI Coding Assistants with specialized knowledge, including pre-defined instructions, best practices, and curated code patterns for building WinUI applications with Syncfusion components.
  • Each skill is defined in a simple, readable SKILL.md file that specifies the correct setup, required modules, current APIs and patterns, and what a valid implementation looks like for a given component.
  • Works as a standard, lightweight approach supported by modern AI development tools: install skills, the tool detects them, and the relevant skill is automatically applied to the user’s prompt.

Agentic UI Builder

(v1.0.0) - Jun 5, 2026

Features

  • Evolved the Agentic UI Builder architecture with Agent Skills, bringing implementation guidance directly into the project environment for more project-aware, context-grounded UI generation.
  • Made UI generation easier to customize and align with internal coding standards and conventions.
  • Streamlined the local development experience while preserving the same AI-assisted UI generation workflow developers already rely on.