DevExtreme React - DevExpress MCP Server Configuration

The DevExpress MCP server connects MCP-compatible AI tools with the DevExpress documentation library, including DevExtreme documentation. The MCP server ensures AI tools such as GitHub Copilot have direct access to the latest information on DevExtreme JavaScript components.

IMPORTANT
Always conduct thorough reviews of AI-generated output: check for security vulnerabilities and adherence to your project standards. AI-generated output may vary greatly depending on the prompt, AI model, and many other factors.

Why Use the DevExpress MCP Server

Once you configure the DevExpress MCP server in your IDE, an MCP-compatible AI tool in Agent mode can help you with the following tasks:

  • Generate and debug DevExtreme component code.
  • Configure and customize DevExtreme components.
  • Get answers to your DevExpress-related questions.
  • Generate code that implements scenarios described in DevExpress documentation.

Additionally, our MCP server can help AI assistants integrate other DevExpress products into your DevExtreme-powered app, such as the BI Dashboard, Reporting, and the Office File API.

Prerequisites and Installation

The DevExpress MCP server supports the following IDEs and AI tools:

IDEs:

  • Visual Studio 2022 (version 17.14 or later)
  • Visual Studio Code
  • Cursor IDE
  • JetBrains Rider 2025.1+

AI tools:

  • GitHub Copilot
  • JetBrains AI Assistant
  • Claude/Claude Code
  • Other MCP-compatible AI Assistants
NOTE
We recommend that you keep your development tools up to date so you can access the latest MCP features.

To configure the DevExpress MCP server in your IDE, refer to the following topic:

DevExpress Documentation MCP Server

Custom Instructions

MCP-compatible AI tools support custom instructions that you can specify in addition to your prompts. The DevExpress MCP server includes such instructions that you can integrate. In VS Code, run the following command to activate these instructions:

/mcp.dxdocs.devexpress_docs_query_workflow

For information on how to implement these instructions in other IDEs, refer to the following topic: Configure an AI-powered Assistant.