Ignite UI MCP Server

Name: Ignite UI MCP Server
Author: IgniteUI

作者：IgniteUI版本 15.9.0i★ –i在你的电脑上运行

注册名称io.github.IgniteUI/mcp-server

安装

概览

作者提供的说明（英文原文）

Unified MCP server for Ignite UI — documentation, API, and CLI scaffolding

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 其他

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
注册中心没有列出需要填写的密钥。

你需要

npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "igniteui": {
      "command": "npx",
      "args": [
        "-y",
        "@igniteui/mcp-server"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add igniteui -- npx -y @igniteui/mcp-server

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "igniteui": {
      "command": "npx",
      "args": [
        "-y",
        "@igniteui/mcp-server"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "igniteui": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@igniteui/mcp-server"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 IgniteUI 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

星标数多于此分类中其他 32464 个服务器的 0%
发布到注册中心的时间比此分类中其他 32464 个服务器的 97% 更新
基础检查结果等于或优于此分类中其他 32464 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Ignite UI MCP Server 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（15.9.0）于昨天进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它？

同一分类中有：Spec Driven Development, Remote Desktop Commander, yontu

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者：formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新

安装

Remote Desktop Commander

作者：desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新

安装

yontu

作者：senrecep

Türkçe yazı denetimi: TDK kuralları, yapay zekâ izleri, metin türüne göre üslup.

在你的电脑上运行今天更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Ignite UI CLI

Quickly create projects, including Ignite UI for Angular and Ignite UI for Web Components, for a variety of frameworks.

Overview

Features:

Create project structure
Add views with Ignite UI components (e.g. Combo, Grid or Chart)
Add scenario based templates with multiple components (e.g. a dashboard)
Build and install npm packages
Select a theme, support for custom themes coming soon
Step by step guide

Supported frameworks

Angular
React
Web Components
Blazor
jQuery

Prerequisites

The repository houses multiple packages and orchestrates building and publishing them with lerna and yarn workspaces.

In order to build the repository locally, you need to have yarn installed on your machine. For installation instructions, please visit their official page

Packages

This monorepo contains several packages that combine into the igniteui-cli:

Package	Description	Location
@igniteui/cli-core	Contains the core functionality of the cli tool	packages/core
@igniteui/angular-templates	Contains the template definitions for Angular components	packages/igx-templates
@igniteui/angular-schematics	IgniteUI CLI implementation to be used with Angular CLI's schematics engine	packages/ng-schematics
igniteui-cli	Standalone IgniteUI CLI tool for React, Blazor, Angular, jQuery and Web Components	packages/cli
@igniteui/mcp-server	MCP server providing AI assistants with Ignite UI documentation and API reference	packages/igniteui-mcp/igniteui-doc-mcp

Installation
Usage
Step by step
List available commands
Generating Projects and adding components
Generate Ignite UI for Angular project
Generate Ignite UI for React project
Adding components
Build and run
Configure AI Tooling
MCP Server
Using with AI Assistants
Testing with MCP Inspector
Schematics
Schematic Definitions
Contribution

Installation

Install the npm package as a global module:

npm install -g igniteui-cli

Usage

The main entry point is igniteui and is also aliased as ig. Both can be used interchangeably to call available commands. Check out our Wiki documentation for more details.

Step by step

To get a guided experience through the available options, simply run:

ig

Upon creation, project will be automatically loaded in the default browser. NOTE: If that doesn't happen the port may be already in use. Ports vary for different project types, see the description for the ig start command for details on default ports.

List the available commands.

ig help

Generating projects and adding components

Create a new project passing name, framework and style theme.

ig new <project name> --framework=<framework> --type=<proj-type> --theme=<theme>

This will create the project and will install the needed dependencies.

Parameters besides name are optional. Framework defaults to "angular", project type defaults to the first available in the framework and theme to the first available for the project. For more information visit ig new Wiki page.

Generate Ignite UI for Angular project

To create a new project with Ignite UI for Angular use ig new by specifying angular as framework, and optionally igx-ts as project type and selecting one of the project templates:

ig new "IG Project" --framework=angular --type=igx-ts --template=side-nav

Generate Ignite UI for React project

To create a new project with Ignite UI for React use ig new by specifying react as framework and igr-ts as project type:

ig new "IG Project" --framework=react --type=igr-ts

Generate Ignite UI for Web Components project

To create a new project with Ignite UI for Web Components use ig new by specifying webcomponents as framework:

ig new "IG Project" --framework=webcomponents

Adding components

Once you have created a project, at any point you can add additional component templates using ig add. Running the command without parameters will guide you through the available templates:

ig add

Add a new component or template to the project passing component ID and choosing a name.

ig add <component/template> <component_name>

The ID matches either a component ("grid", "combo", "text-editor", etc) or a predefined template. Predefined templates are framework/project specific and can provide predefined views with either multiple components or fulfilling a specific use case like "form-validation", "master-detail" and so on.

For full list of supported templates in the current project you can simply run ig list command:

ig list

Build and run

ig build

ig start

Configure AI Tooling

Ignite UI provides rich AI assisted development toolchain. To configure Ignite UI AI tooling — MCP servers and AI coding skills — run:

ig ai-config

You will be prompted with two selections:

AI agents — which tools to generate skill and instruction files for (Generic and Claude are selected by default)
Coding assistants — which assistants to configure MCP servers for (general .mcp.json is selected by default, compatible with Claude Code, VS Code, and others)

You can also pass options directly:

ig ai-config --agents claude copilot generic --assistants vscode cursor

This creates or updates the assistant-specific MCP config file (e.g. .mcp.json, .vscode/mcp.json, .cursor/mcp.json) with entries for the Ignite UI MCP and igniteui-theming MCP servers (existing servers are preserved), copies AI coding skill files from installed Ignite UI packages, and generates agent-specific instruction files (e.g. CLAUDE.md, AGENTS.md).

The ig new command also prompts for AI tool configuration as part of project creation.

MCP Server

The CLI includes a bundled MCP (Model Context Protocol) server that provides AI assistants with Ignite UI documentation search, API reference lookup, and scaffolding guidance for Angular, React, Blazor, and Web Components.

Start the MCP server:

ig mcp

The server runs over stdio and supports the following options:

ig mcp --remote <url>   # Use a remote backend instead of the local SQLite database

ig mcp --debug # Enable debug logging to mcp-server.log

Using with AI Assistants

For VS Code, the ig ai-config command handles configuration automatically (see above). For other MCP clients (e.g., Claude Desktop, Cursor), configure them manually:

"mcpServers": { "igniteui-cli": { "command": "npx", "args": ["-y", "@igniteui/mcp-server"] }, "igniteui-theming": { "command": "npx", "args": ["-y", "igniteui-theming", "igniteui-theming-mcp"] } } }

In a project that lists igniteui-cli as a dependency, ig ai-config writes "args": ["-y", "igniteui-cli", "mcp"] instead, which starts the server bundled with the project's CLI. Use that form there too when configuring manually: with pnpm, npx -y @igniteui/mcp-server cannot start inside such a project.

The first start downloads the server into the npx cache, which can take 10 seconds or more, and npx downloads it again after each new release. If your MCP client has a short connection timeout, install the server globally (npm install -g @igniteui/mcp-server) and use "command": "igniteui-mcp" with no arguments, or pin a version ("args": ["-y", "@igniteui/mcp-server@ "]). Pinned and global installs don't update on their own, so the bundled documentation stays at that version until you change it.

The MCP server exposes the following tools to AI assistants:

Tool	Description
`list_components`	List available Ignite UI component docs. Filter by framework and optional keyword match against filename, component name, keywords, or summary.
`get_doc`	Return the full markdown content of a specific component doc by name (e.g., `grid-editing`, `accordion`).
`search_docs`	Full-text search across Ignite UI docs for a specific framework. Supports prefix matching (e.g., `grid*`).
`search_api`	Search Ignite UI API entries by keyword, feature name, or partial component name.
`get_api_reference`	Return the full API reference for a specific Ignite UI component or class by exact name.
`get_project_setup_guide`	Returns setup guides for creating a new Ignite UI project. For Angular/React/Web Components: CLI scaffolding instructions. For Blazor: `dotnet new` + NuGet setup guide.

Testing with MCP Inspector

To interactively test and debug the MCP server tools:

npx @modelcontextprotocol/inspector ig mcp

Schematics

You can also add Ignite UI for Angular components to your projects by using the igniteui/angular-schematics package. It included schematic definitions for most of the logic present in the igniteui-cli. These can be called in any existing Angular project or even when creating one. You can learn more about the schematics package on from its readme.

Contribution

See the Contribution guide to get started.

Run locally

Clone the repository
Install dependencies with yarn install
Build the MCP server and bundle it into the CLI: bash cd packages/igniteui-mcp/igniteui-doc-mcp npm install npm run build cd ../../.. npm run build:mcp
Build the monorepo packages: npm run build
Open i

只显示了开头部分；其余内容请在仓库中阅读