Top 3 MCP Servers in 2025: Enhancing Your AI Experience with Apple, Magic, and Supabase

The Model Context Protocol (MCP) has revolutionized how AI assistants interact with tools and data sources. MCP servers act as bridges between AI models and various applications, expanding what AI assistants can accomplish. Today, I'll explore three powerful MCP servers that are transforming AI productivity in 2025.

Why MCP Servers Matter

MCP servers allow AI assistants like Claude to access external tools, databases, and applications. Instead of merely generating text responses, AI assistants equipped with MCP servers can perform real-world actions like sending emails, creating UI components, or managing databases. This represents a quantum leap in AI capabilities.

Let's examine three standout MCP servers that address distinct productivity needs.

1. Apple MCP Tools: Native macOS Integration

Apple MCP Tools brings native macOS functionality directly to your AI assistant, creating a seamless bridge between AI capabilities and your Apple ecosystem.

Key Features

• Messages Integration: Send and read messages through Apple's Messages app
• Notes Management: List, search, and read notes from Apple Notes
• Contact Handling: Search contacts for communication tasks
• Email Management: Send emails with attachments, schedule deliveries, and check unread counts
• Reminders: Create and manage reminders with due dates and notes

Why It's Important

What makes Apple MCP Tools revolutionary is how it transforms AI assistants into true personal assistants that can interact with your digital life. Rather than switching between Claude and your macOS applications, this server allows Claude to directly interact with your messages, contacts, emails, and reminders.

The ability to chain commands is particularly powerful. For example, you can ask Claude to "read notes from a conference, find contacts mentioned, and send follow-up emails" – all in a single request. This workflow automation saves significant time and reduces context switching.

Getting Started

Installation is straightforward using Smithery:

npx -y @smithery/cli@latest install @Dhravya/apple-mcp --client claude

For manual installation with Bun:

brew install oven-sh/bun/bun

Then edit your claude_desktop_config.json:

{
  "mcpServers": {
    "apple-mcp": {
      "command": "bunx",
      "args": ["--no-cache", "apple-mcp@latest"]
    }
  }
}

2. Magic AI Agent: UI Component Generation

The Magic Component Platform (MCP) from 21st.dev revolutionizes UI development by allowing AI assistants to create beautiful, modern UI components from natural language descriptions.

Key Features

• AI-Powered UI Generation: Create components by describing them conversationally
• Multi-IDE Support: Integrates with Cursor, Windsurf, and VSCode (via Cline)
• Modern Component Library: Access pre-built components inspired by 21st.dev
• Real-time Preview: Instantly visualize generated components
• TypeScript Support: Generate type-safe components
• SVGL Integration: Access professional brand assets and logos

Why It's Important

Magic AI Agent addresses one of the most time-consuming aspects of development: creating UI components. Instead of manually coding buttons, navigation bars, or complex forms, developers can simply describe what they need in natural language, and Magic generates the code.

This dramatically accelerates development workflows and lowers the barrier for creating polished interfaces. Even experienced developers benefit from the time savings, while those with less UI expertise can produce professional components that follow modern design patterns.

Getting Started

To use Magic AI Agent, you'll need to:

1. Generate an API Key from your Magic dashboard
2. Configure your IDE with the appropriate setup

For Cursor IDE:

npx -y @smithery/cli@latest run @21st-dev/magic-mcp --config "{\"TWENTY_FIRST_API_KEY\":\"your-api-key\"}"

For other IDEs like Windsurf or VSCode with Cline, specific configuration JSON is required as detailed in the documentation.

3. Query MCP (Supabase MCP Server): Database Management

Query MCP (formerly Supabase MCP Server) provides a secure interface for AI assistants to manage Supabase databases and projects through natural language.

Key Features

• Safe SQL Execution: Run PostgreSQL queries with intelligent risk assessment
• Management API Access: Control Supabase projects programmatically
• Three-Tier Safety System: Categorizes operations as safe, write, or destructive
• Auth Admin Tools: Create and manage users with proper authentication
• Automatic Migration Versioning: Track database changes with versioned migrations
• Logs & Analytics: Access logs from any Supabase service

Why It's Important

Database management typically requires specialized knowledge and careful consideration of potential risks. Query MCP transforms this process by enabling AI assistants to safely interact with databases through natural language.

The three-tier safety system is particularly innovative – it prevents accidental destructive operations while still allowing developers to leverage AI for database tasks. The automatic versioning of database changes provides an additional safety net by tracking modifications.

For teams using Supabase, this MCP server effectively turns Claude into a database administrator that can execute queries, manage users, and oversee projects – all while maintaining appropriate safeguards.

Getting Started

Installation is simple with package managers:

# Recommended
pipx install supabase-mcp-server

# Alternative
uv pip install supabase-mcp-server

Configuration requires setting environment variables:

SUPABASE_PROJECT_REF=your-project-ref
SUPABASE_DB_PASSWORD=your-db-password
SUPABASE_REGION=us-east-1
SUPABASE_ACCESS_TOKEN=your-access-token
SUPABASE_SERVICE_ROLE_KEY=your-service-role-key

Then configure your AI assistant's client to use the server. For Claude Desktop:

{
  "mcpServers": {
    "supabase": {
      "command": "/full/path/to/supabase-mcp-server",
      "env": {
        "SUPABASE_PROJECT_REF": "your-project-ref",
        "SUPABASE_DB_PASSWORD": "your-db-password",
        "SUPABASE_REGION": "us-east-1",
        "SUPABASE_ACCESS_TOKEN": "your-access-token",
        "SUPABASE_SERVICE_ROLE_KEY": "your-service-role-key"
      }
    }
  }
}

Conclusion: The Future of AI Assistants

These three MCP servers represent different facets of AI augmentation:

• Apple MCP Tools connects AI to your personal digital ecosystem
• Magic AI Agent accelerates UI development with AI-generated components
• Query MCP enables safe database management through natural language

Together, they demonstrate how MCP servers are transforming AI assistants from conversational tools into capable digital agents that can interact with real-world systems. As the MCP ecosystem continues to grow, we can expect AI assistants to become even more integrated into our workflows, handling increasingly complex tasks across different domains.

For more information about available MCP servers and how to use them with Claude and other AI assistants, visit model-context-protocol.com.