SyncfusionReactAssistant MCP Server

6 Oct 20256 minutes to read

Overview

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

Key Benefits

  • Intelligent code generation for Syncfusion® React components.
  • Detailed component documentation and usage examples.
  • Troubleshooting assistance for common integration challenges.

Prerequisites

Before using SyncfusionReactAssistant, ensure you have:

Unlimited Access

Syncfusion® offers unlimited access to this MCP server. There are no restrictions on:

  • Number of requests
  • Components usage
  • Query types
  • Usage duration

This ensures users can fully leverage Syncfusion® components to enhance their development experience without limitations.

Installation and setup

Before you can invoke the SyncfusionReactAssistant MCP server, you need to configure your MCP client with these core settings. The Generic MCP Server Settings shown below are identical across all clients:

Generic MCP Server Settings

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

You need to add your Syncfusion API key as an env parameter in the configuration file:

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

SyncfusionReactAssistant can be configured in various MCP clients. Below are setup instructions for popular environment:

Syncfusion® Code Studio

  • In Code Studio, open MCP Marketplace, find SyncfusionReactAssistant, and click Install.
  • When prompted, enter your Syncfusion API key and click Submit to register.
  • It installs locally on your machine and appears in the Installed list.
  • The server is ready for use in Code Studio.

For additional details, see the Code Studio documentation.

VS Code (GitHub Copilot MCP)

  1. To configure an MCP server for a specific workspace, you can create a .vscode/mcp.json file in your workspace folder.
{
  "servers": {
    "syncfusion-react-assistant": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@syncfusion/react-assistant@latest"
      ],
      "env": {
        "Syncfusion_API_Key": "YOUR_API_KEY"
      }
    }
  }
}

  1. After updating the configuration in settings.json, you’ll notice a “Start” option at the top of the config. This allows you to easily start the SyncfusionReactAssistant server directly from the settings interface without additional commands.

  2. Confirm that SyncfusionReactAssistant is being used (this does not happen automatically). Look for a statement in the output, which is similar to:

    • SyncfusionReactAssistant is running... (in VS Code)

Cursor

To configure an MCP server for a specific workspace, you can create a .cursor/mcp.json file in your workspace folder.

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

JetBrains IDEs

  1. Go to Settings -> Tools -> AI Assistant -> Model Context Protocol (MCP).
  2. Click + Add to add a new MCP server configuration.
  3. In the New MCP Server dialog, switch the dropdown as As JSON and add the following config:
{
  "mcpServers": {
    "syncfusion-react-assistant": {
      "command": "npx",
      "args": [
        "-y",
        "@syncfusion/react-assistant@latest"
      ],
      "env": {
       "Syncfusion_API_Key": "YOUR_API_KEY"
      }
    }
  }
}
  1. Click OK and Apply.

For more detailed information about configuring MCP servers in various clients, refer to the official documentations.

Usage

To activate the SyncfusionReactAssistant MCP server:

  1. Start your prompt with one of the following:
    • ‘SyncfusionReactAssistant’
    • ‘/syncfusion-react-assistant’
    • ‘/syncfusion-react’
    • ‘@syncfusion-react’
    • ‘@ask_syncfusion_react’
    • ‘ej2-react’

    In VS Code, you can also use #SyncfusionReactAssistant to explicitly invoke the MCP server.

  2. Grant the SyncfusionReactAssistant MCP server a permission to run for this session, workspace, or always.
  3. For best results, start a new chat for each new topic to maintain clean context.

Mode availability

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

Best Practices for Effective Usage

  1. Be specific: Mention both platform and component (e.g., “How do I create a Syncfusion React Grid with paging and filtering?”).
  2. Provide context: Include details about your use case for more targeted solutions.
  3. Use descriptive queries: Avoid vague questions that lack necessary context.
  4. Start fresh for new topics: Begin a new chat session when switching components or topics.

Example Queries

Here are some effective ways to use SyncfusionReactAssistant:

  • “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 you encounter issues:

  • Verify your API key is correctly configured.
  • Ensure the MCP server is enabled in your client’s tools selection.
  • Check that you’re using a compatible MCP client version.
  • Try restarting your development environment.

Support

Product support is available through the following mediums.

See also