SyncfusionBlazorAssistant MCP Server

24 Oct 20256 minutes to read

Overview

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

Key Benefits

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

Prerequisites

Before using SyncfusionBlazorAssistant, ensure you have:

Unlimited Access

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

  • Number of requests
  • Components usage
  • Query caps
  • 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 SyncfusionBlazorAssistant 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/blazor-assistant
  • Type: stdio (standard input/output transport)
  • Command: npx
  • Arguments: -y
  • Server name: syncfusionBlazorAssistant

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

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

Below are setup instructions for popular MCP clients:

Syncfusion® Code Studio

  • In Code Studio, open MCP Marketplace, find SyncfusionBlazorAssistant, 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 now ready for use in Code Studio. For more details, refer to the Code Studio documentation.

Visual Studio Code (GitHub Copilot MCP)

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

  • 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 SyncfusionBlazorAssistant server directly from the settings interface without additional commands.

  • Confirm the server is active by checking for a message like: SyncfusionBlazorAssistant is running... in the output.

  • For additional guidance, refer to the Visual Studio Code documentation.

Visual Studio (GitHub Copilot MCP)

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

Cursor

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

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

For more details, refer to the Cursor documentation.

JetBrains IDEs

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

For further assistance, see the JetBrains documentation.

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

Usage

To activate the SyncfusionBlazorAssistant MCP server:

  1. Start your prompt with one of the following:
    • ‘SyncfusionBlazorAssistant’
    • ‘/syncfusion-blazor-assistant’
    • ‘/syncfusion-blazor’
    • ‘@syncfusion-blazor’
    • ‘@ask_syncfusion_blazor’
    • ‘ej2-blazor’

    In Visual Studio Code, use #SyncfusionBlazorAssistant for direct invocation.

  2. Grant permission for the server to run (for the 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 Blazor 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 SyncfusionBlazorAssistant:

  • “Create a Syncfusion Blazor Grid component with paging, sorting and filtering.”
  • “How do I implement data binding with Syncfusion Blazor 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