Unified MCP server for Ignite UI β documentation, API, and CLI scaffolding
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
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π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Quickly create projects, including Ignite UI for Angular and Ignite UI for Web Components, for a variety of frameworks.
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
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 |
Install the npm package as a global module:
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.
To get a guided experience through the available options, simply run:

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.
Create a new project passing name, framework and style 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.
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:
To create a new project with Ignite UI for React use ig new by specifying react as framework and igr-ts as project type:
To create a new project with Ignite UI for Web Components use ig new by specifying webcomponents as framework:
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:
Add a new component or template to the project passing component ID and choosing a 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:
Ignite UI provides rich AI assisted development toolchain. To configure Ignite UI AI tooling β MCP servers and AI coding skills β run:
You will be prompted with two selections:
.mcp.json is selected by default, compatible with Claude Code, VS Code, and others)You can also pass options directly:
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.
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:
The server runs over stdio and supports the following options:
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:
The MCP server exposes the following tools to AI assistants:
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