DevExpress MCP Server: Configure Your AI-powered Coding Assistant
- 3 minutes to read
The DevExpress MCP Server connects GitHub Copilot and other AI assistants directly to DevExpress documentation. This connection enables accurate code generation based on official documentation without leaving the IDE.
DevExpress MCP Server Usage Benefits
Once you configure the DevExpress MCP Server in your IDE, AI assistants can help with the following tasks (when in Agent mode):
- Get accurate answers to DevExpress-related questions.
- Generate code based on official DevExpress documentation.
Important
Always review AI-generated output. Check for architectural issues, security vulnerabilities, and compliance with project standards. Output quality can vary depending on the prompt, AI model, and clarity of the project code.
Prerequisites
Supported IDEs and Platforms:
- Visual Studio 2022 (version 17.14 or later)
- Visual Studio 2026
- Visual Studio Code
- Cursor IDE
- JetBrains Rider 2025.1+
- GitHub (repository-level configuration)
Coding Assistants and AI Tools:
- GitHub Copilot
- JetBrains AI Assistant
- Claude Desktop
- Claude Code (CLI)
- ChatGPT (Plus, Team, or Enterprise)
- Gemini CLI
- Other MCP-compatible AI assistants
Common Setup Steps
Tip
If you use the DevExpress Template Kit to create a new project in Visual Studio or VS Code, select the Use DevExpress MCP option. The Template Kit automatically configures an MCP Server.
- Enable Agent mode: Your IDE may require that you activate Agent mode for MCP server integration. Consult your IDE documentation.
- Configure DevExpress MCP Server: Add a server endpoint (
https://api.devexpress.com/mcp/docs) to the MCP configuration. The endpoint always accesses documentation for the latest product version. Use a?v=parameter to target an earlier release (v24.2 or later). One-click installation is available for Visual Studio, VS Code, and Cursor. - Verify Connection: Ensure that the following DevExpress tools are available in your AI assistant’s available tools list:
devexpress_docs_search— performs semantic search across the documentation database and returns the top five matches.devexpress_docs_get_content— downloads complete help topics by URL.
- Specify Custom Instructions (optional): Define prompts that optimize how the AI assistant uses DevExpress tools. See the following section for additional information: Optimize Your AI Assistant.
One-Click Installation Links
Use the following links for quick installation:
Note
If you experience issues with a one-click installation link, follow manual installation instructions listed in the next section.
Manual Installation and Optimization
For IDE-specific setup instructions (Visual Studio, VS Code, Cursor, JetBrains Rider, Claude, ChatGPT, Gemini CLI, and more), refer to the following help topic:
To get the most from the DevExpress MCP Server, define custom instructions that tell your AI assistant how to use DevExpress tools effectively. Setup examples are available for all supported IDEs:
Ask a Question: Best Practices
To get the most relevant answers from the DevExpress MCP Server:
- Name the component: Use exact class names (for example, “GridControl”, “DockLayoutManager”).
- Name the platform: WinForms, WPF, Blazor, ASP.NET Core, and VCL.
- Ask for code: Request implementation examples explicitly.
- Reference dxdocs: Add “Use dxdocs” or “search DevExpress docs” to your prompt.
- Specify the version: If you use an older release, include the version (for example, “v24.2”).
Sample Prompts
- Show me how to enable master-detail mode in the DevExpress WPF GridControl. Search DevExpress docs.
- Create a DockLayoutManager layout with two docked panels and a document group in WPF. Query dxdocs.
- How do I bind the WPF SchedulerControl to a data source and define resource sharing? Use dxdocs.
- Implement an MVVM view model with DelegateCommand and IDialogService for a DevExpress WPF application. Search DevExpress docs.