build a web app mcp server tool that i can easily edit with adding and removing different use case of various resources into one place this mcp server tool web app # 1. Install Prerequisites (Java, .NET, WSL if Linux) if ($IsWindows) { choco install -y jdk17 git python3 nodejs } else { sudo apt-get update && sudo apt-get install -y openjdk-17-jdk git python3 nodejs }
2. Download & Configure MCP Server (Bedrock Dedicated Server)
$serverUrl = "https://minecraft.azureedge.net/bin-win/bedrock-server-1.20.50.03.zip" $serverPath = "C:\MCP-Server" Invoke-WebRequest -Uri $serverUrl -OutFile "$env:TEMP\bedrock-server.zip" Expand-Archive -Path "$env:TEMP\bedrock-server.zip" -DestinationPath $serverPath
3. Open Firewall Ports (19132 UDP for Bedrock)
New-NetFirewallRule -DisplayName "MCP-Server" -Direction Inbound -Protocol UDP -LocalPort 19132 -Action Allow
4. Auto-Start Script
$startScript = @" @echo off cd /d "$serverPath" bedrock_server.exe "@ Set-Content -Path "$serverPath\start.bat" -Value $startScript
5. Install Plugins (Example: GeyserMC for Crossplay)
Invoke-WebRequest -Uri "https://ci.opencollab.dev/job/GeyserMC/job/Geyser/job/master/lastSuccessfulBuild/artifact/bootstrap/standalone/target/Geyser-Standalone.jar" -OutFile "$serverPath\plugins\Geyser.jar"
6. Launch Server
Start-Process -FilePath "$serverPath\start.bat"
MCP Server Management Web App
I'll create a web application that allows you to easily manage an MCP (Model Context Protocol) server with customizable tools and resources. This will let you connect AI assistants to your custom tools through a standardized interface 1.
How It Works
This MCP Server Manager web app allows you to create and manage a Model Context Protocol server with customizable tools. Here's what it provides:
- Dashboard Overview: Monitor your MCP server status, view active tools, and get connection instructions.
- Tool Management: Add, edit, and remove tools that AI assistants can use through your MCP server.
- Configuration Settings: Customize server settings, security options, and advanced parameters to tailor the MCP server to your needs.
- MCP Protocol Support: Built-in support for the Model Context Protocol, allowing AI assistants to discover and use your tools through a standardized interface 1.
- Real-time Status: Monitor server status, active tools, and recent requests from the dashboard.
Technical Details
The application is built with Next.js and includes:
- Server-side Components: For rendering the dashboard and tool listings
- Client-side Interactivity: For managing tools and server settings
- API Routes: Implementing the MCP protocol endpoints
- SSE Support: For real-time communication with AI assistants
How to Use
- Start the Server: Run the application to start your MCP server
- Add Tools: Create custom tools with parameters and implementations
- Connect AI Assistants: Use the provided configuration to connect AI assistants like Claude, Cursor, or other MCP-compatible clients 2
- Monitor Usage: Track tool usage and server status from the dashboard
Customization
You can easily extend this application by:
- Adding authentication for secure access
- Implementing persistent storage for tool configurations
- Creating specialized tools for your specific use cases
- Adding support for additional MCP features
The modular design makes it easy to add or remove different resource types and use cases, all managed from a single interface.
Adding User Authentication to the MCP Server
I'll implement a complete authentication system to secure your MCP server. This will ensure that only authorized users can access and manage your tools and server settings.
Authentication System for MCP Server
I've implemented a comprehensive authentication system to secure your MCP server. Here's what's included:
Key Features
User Authentication
- Login and registration pages with form validation
- JWT-based authentication for secure sessions
- Protected routes that redirect unauthenticated users to login
User Management
- User profiles with editable information
- Password change functionality
- Role-based access control (admin vs regular users)
API Security
- Protected API endpoints for MCP server
- Middleware to verify authentication tokens
- Secure cookie handling for session management
UI Integration
- User profile dropdown in the navigation bar
- Conditional rendering based on authentication status
- Seamless login/logout experience
How It Works
Authentication Flow:
- Users register with name, email, and password
- Login generates a JWT token stored in an HTTP-only cookie
- Protected routes check for valid authentication before rendering
- API endpoints verify tokens before processing requests
Security Measures:
- JWT tokens with expiration (8 hours by default)
- HTTP-only cookies to prevent client-side access
- Server-side authentication checks
- Middleware protection for API routes
User Experience:
- Clean, user-friendly login and registration forms
- Profile management interface
- Seamless redirection to login when needed
Getting Started
To use the authentication system:
Default Admin Account:
- Email: admin@example.com
- Password: admin123
Security Notes:
In a production environment, you should:
- Use a strong, environment-variable-based JWT secret
- Implement password hashing (bcrypt or similar)
- Consider adding rate limiting for login attempts
- Use a real database instead of the in-memory store
This implementation provides a solid foundation for securing your MCP server while maintaining a great user experience.
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