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SyncfusionReactAssistant MCP Server

2 Feb 20265 minutes to read

Overview

The SyncfusionReactAssistant is a Model Context Protocol (MCP) server that provides intelligent assistance for developers using Syncfusion’s React component libraries. It integrates with compatible MCP clients to enhance the development workflow when building React applications with Syncfusion® components.

Key benefits

  • Intelligent code generation for Syncfusion® React components
  • Detailed component documentation and usage examples
  • Context-aware troubleshooting for common integration challenges

Prerequisites

Before using SyncfusionReactAssistant, ensure you have:

Unlimited access

Syncfusion provides unlimited access to this MCP server with no restrictions on:

  • Number of requests
  • Component usage
  • Query caps
  • Usage duration

This enables unhindered use of the assistant across development workflows.

Installation and setup

Configure the SyncfusionReactAssistant MCP client with the following core settings. These generic MCP server settings are applicable across clients:

Generic MCP server settings

  • npm package name: @syncfusion/react-assistant
  • Type: stdio (standard input/output transport)
  • Command: npx
  • Arguments: -y
  • Server name: syncfusionReactAssistant

API key configuration

Login to your Syncfusion account and generate an API Key from the API Key page. Replace YOUR_API_KEY_FILE_PATH or YOUR_API_KEY in the configuration files with your generated key.

There are two options:

  • Using an API Key File (Recommended)

    Store your API key in a separate file and reference its path in the Syncfusion_API_Key_Path environment parameter. This approach is more secure as you don’t expose the key directly in configuration files.

    Supported file formats: .txt or .key file

"env": {
  "Syncfusion_API_Key_Path": "YOUR_API_KEY_FILE_PATH" // "D:\\syncfusion-key.txt" (or) "D:\\syncfusion-key.key"
}

Using a direct API key

Set the key directly in the MCP configuration:

"env": {
  "Syncfusion_API_Key": "YOUR_API_KEY"
}

If both the key file and the environment variable are provided, the Syncfusion_API_Key_Path file takes priority.

Below are setup instructions for popular MCP clients:

Syncfusion® Code Studio

  • In Code Studio, open the MCP Marketplace, find SyncfusionReactAssistant, and click Install.
  • When prompted, provide your Syncfusion API key to register the extension.
  • The server installs locally and is available in the Installed list; it is then ready to use. See Code Studio documentation for details.

VS Code (GitHub Copilot MCP)

Create a .vscode/mcp.json file in your workspace with the MCP server configuration:

{
  "servers": {
    "syncfusion-react-assistant": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@syncfusion/react-assistant@latest"],
      "env": {
        "Syncfusion_API_Key_Path": "YOUR_API_KEY_FILE_PATH"
        // or
        // "Syncfusion_API_Key": "YOUR_API_KEY"
      }
    }
  }
}

After saving, use the MCP UI in VS Code to start the server. Confirm startup by checking for a message such as SyncfusionReactAssistant is running... in the output.

See VS Code MCP server docs: https://code.visualstudio.com/docs/copilot/customization/mcp-servers#_add-an-mcp-server

Cursor

Create a .cursor/mcp.json file with similar settings:

{
  "mcpServers": {
    "syncfusion-react-assistant": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@syncfusion/react-assistant@latest"],
      "env": {
        "Syncfusion_API_Key_Path": "YOUR_API_KEY_FILE_PATH"
      }
    }
  }
}

Refer to Cursor MCP docs: https://cursor.com/docs/context/mcp#using-mcp-json

JetBrains IDEs

  • Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP).
  • Add a new MCP server and paste the JSON configuration (use npx command on Windows with npx.cmd if required):
{
  "mcpServers": {
    "syncfusion-react-assistant": {
      "command": "npx.cmd",
      "args": ["-y", "@syncfusion/react-assistant@latest"],
      "env": {
        "Syncfusion_API_Key_Path": "YOUR_API_KEY_FILE_PATH"
      }
    }
  }
}

Apply and start the server. See JetBrains docs: https://www.jetbrains.com/help/ai-assistant/mcp.html#connect-to-an-mcp-server

For additional client-specific examples, consult the client’s documentation (e.g., Windsurf, GitHub Copilot MCP docs).

Usage

To invoke the SyncfusionReactAssistant in a chat session, start your prompt with one of the triggers:

  • SyncfusionReactAssistant
  • /syncfusion-react-assistant
  • /syncfusion-react
  • @syncfusion-react
  • @ask_syncfusion_react
  • ej2-react

In VS Code, prefix with #SyncfusionReactAssistant for direct invocation. Grant permission when prompted and start a new chat for each topic to maintain focused context.

Mode availability

Syncfusion MCP servers provide full access to AI interaction modes — Ask/Chat, Edit, and Agent — across supported MCP clients.

Best practices

  1. Be specific: include platform and component (e.g., “Create a Syncfusion React Grid with paging and filtering”).
  2. Provide context: share versions, desired behavior, and constraints.
  3. Use descriptive queries: avoid vague questions.
  4. Start a new chat for new topics to maintain clean context.

Example queries

  • “Create a Syncfusion React Grid component with paging, sorting and filtering.”
  • “How do I implement data binding with Syncfusion React Scheduler?”
  • “Show me how to create a dashboard with multiple Syncfusion components.”

Troubleshooting

If issues occur:

  • Verify API key configuration (path or value).
  • Ensure the MCP server is enabled in the client’s MCP settings.
  • Confirm the MCP client version is compatible.
  • Restart the MCP client or development environment.
  • Check the tool output logs for diagnostic messages.

Support

See also