SkyDeck AI Helper App
Learn about the SkyDeck AI Helper desktop application that manages Model Context Protocol (MCP) servers for GenStudio Workspace.
Last updated
Learn about the SkyDeck AI Helper desktop application that manages Model Context Protocol (MCP) servers for GenStudio Workspace.
Last updated
SkyDeck AI Helper is a powerful desktop application that serves as a management hub for MCP servers. It provides a unified interface for discovering, installing, and managing AI tools on your local machine. The app bridges the gap between AI applications like GenStudio Workspace and local tools, enhancing what AI can do with your data while maintaining privacy and security.
Think of it as a "tool manager" for AI applications - it allows your AI assistants to access specific capabilities on your computer in a secure, controlled way.
The Model Context Protocol (MCP) is an open standard that defines how AI applications connect to different tools and data sources (Similar to how USB-C provides a standardized way to connect your devices to various peripherals).
MCP Clients: AI applications (like Claude Desktop, SkyDeck GenStudio) that use MCP to access tools and data
MCP Servers: Programs that expose specific capabilities (tools) through the protocol
MCP Tools: Individual functions provided by servers that perform specific tasks
SkyDeck AI Helper manages the servers that provide these tools to your AI applications.
Centralized MCP Management: Manage all your MCP servers from a single, intuitive interface
Enhanced AI Capabilities: Extend AI applications with local tools and data sources
Secure Tool Execution: Permission-based security for sensitive tool operations
Real-time Server Status: Monitor the health and availability of all connected servers
Standardized AI Integration: Use the Model Context Protocol to ensure consistent AI interactions
Background Operation: Runs efficiently in the system tray while you work with other applications
Currently, SkyDeck AI Helper is available for:
macOS: Intel and Apple Silicon (M1/M2/M3) processors
Future planned support (not yet available):
Windows (in development)
Linux (under consideration)
Before installing SkyDeck AI Helper, ensure you have:
Operating System: macOS 10.15 (Catalina) or newer
uv: Python package manager (required by many MCP servers)
We recommend installing uv via Homebrew: brew install uv
Node.js: Required for Node-based servers (version 14.x or newer)
We recommend installing Node.js via Homebrew: brew install node
Download & Install: Download and Install SkyDeck AI Helper app from your GenStudio Workspace
Launch the App: Open it from your Applications folder, or simply switch the toggle ON
Install a Server: Go to "MCP Servers" tab, select a server, and click "Install"
Connect to AI: Your SkyDeck GenStudio will automatically detect your installed servers
Start Using Tools: Your AI can now use the capabilities provided by the installed servers
When you first launch SkyDeck AI Helper, you'll see a simple interface with a navigation rail on the left side offering different sections:
MCP Servers: Browse and install servers from mcp-get.com and smithery.ai
Installed: Manage servers already installed on your system
Server Logs: View activity logs for all connected servers
Settings: Configure application preferences
The application will run in the system tray, allowing you to access it at any time while working with other applications.
Navigate to the "MCP Servers" tab
Browse the available servers or use the search function to find specific capabilities
Click on a server card to read detailed information
Click "Install" to add the server to your system
The installation progress will be displayed
Once complete, the server will start automatically
In the "Installed" tab, you can:
View Status: See which servers are running, stopped, or have errors
Start/Stop Servers: Toggle individual servers on or off as needed
Configure Servers: Set environment variables and working directories
View Server Details: See all available tools and server information
Uninstall Servers: Remove servers you no longer need
Many servers require specific configuration to work properly:
Environment Variables:
Click the "Environment Variables" button on a server's page
Add key-value pairs required by the server
Common examples include API keys or configuration options
Working Directories:
Some servers (especially file-related ones) need a working directory
Set this by clicking on the server and accessing the directory settings
This controls what files the server can access
Each MCP server provides a set of "tools" that AI applications can use. These tools represent specific capabilities, such as accessing files, searching code, or interacting with services.
In the "Installed" tab, click on a server to access its details
You'll see a grid of available tools
Each tool card shows:
Tool Name: Identifying the capability
Description: Explaining what the tool does
Parameters: Information the tool requires when used
SkyDeck AI Helper provides a security layer for tool execution:
Permission Requests: When an AI application attempts to use a tool for the first time, you'll be prompted for permission
Trust Settings: For each tool, you can toggle the "Always Allow" switch to grant permanent permission
Audit Trail: All tool usage is recorded in the server logs
SkyDeck AI Helper comes with built-in support for these key servers:
Automatically installed by default, this server provides comprehensive tools for AI-driven development workflow:
File operations (reading, writing, managing files)
Code analysis and search capabilities
Multi-language code execution
Web content retrieval
System information access
and so on
An optional MCP server that enhances Claude's coding capabilities:
Specialized coding assistance
File analysis tools
Enhanced AI coding workflows
Must be installed separately through the interface
SkyDeck AI Helper checks for updates automatically and notifies you when available:
Update notification appears when a new version is detected
Click "Update Now" to begin the process
The update starts in the background
When complete, the application will close and relaunch itself.
SkyDeck AI Helper is designed with security and privacy as core principles:
Process Isolation: Each server runs in its own process space for containment
Permission Model: Two-tier approach:
Tools marked as "Always Allow" execute without prompting
Otherwise, they will require explicit permission from the users
Local Execution: All tools run locally on your machine
No Data Collection: The application does not collect usage data
No Cloud Dependency: Servers run entirely on your local machine
Permission Transparency: Clear visibility into what tools are being used
Access Control: AI applications can only access what you explicitly permit
To get the most from SkyDeck AI Helper:
Start with Essential Servers: Begin with a few key servers rather than installing everything
Manage Resources: Stop servers you're not actively using to conserve system resources
Review Permissions Carefully: Be selective about which tools you mark as "Always Allow"
Check Logs Periodically: Review the Server Logs tab to monitor tool usage
Keep Dependencies Updated: Ensure Python and Node.js are kept up to date
Use Specific Working Directories: Set appropriate working directories for file-based servers to limit scope
Server Connection Issues
Issue: Server shows "Failed to Connect"
Solutions:
Click "Retry" and see if it can fix the issue
If not, open the server to see why it failed to connect
Check if any environment variables are required by the server
Check the server specification to see if it requires anything else
Issue: Server installs but tools are not visible
Solution:
Verify the server is properly started in the Installed tab
Try to stop and restart the server
Performance Issues
Issue: Application becomes sluggish
Solutions:
Reduce the number of active servers
Restart the application
Check system resources in Activity Monitor
Features and Improvements
Enhanced Server Management: Improved handling of server states and connections
Tray Icon Enhancements: Better visibility and functionality in system tray
New MCP Server Support: Added compatibility with latest Model Context Protocol servers
UI Improvements: Refined navigation and server cards
Performance Optimizations: Reduced memory usage and faster server switching
Improved Error Handling: Better feedback for connection issues
Update Mechanism: Smoother application updates
Documentation: Enhanced in-app help resources
Q: What is SkyDeck AI Helper used for? A: It manages MCP servers on your computer, enabling AI applications (like SkyDeck GenStudio) to securely access tools and data that enhance their capabilities.
Q: Is SkyDeck AI Helper free to use? A: Yes, SkyDeck AI Helper is completely free to use.
Q: Does the app need to be running all the time? A: For AI applications to access the MCP servers, yes. However, it runs efficiently in the background with minimal resource usage.
Q: Can I use SkyDeck AI Helper with other AI applications? A: For now, this helper app only supports SkyDeck GenStudio. However, we do plan to add support for more AI applications, such as the Claude Desktop app.
Q: Will SkyDeck AI Helper be available for Windows or Linux? A: Windows support is currently in development, and Linux support is under consideration. Follow our official channels for announcements about platform availability.
Q: How much of my system resources will the app use? A: SkyDeck AI Helper is designed to be lightweight, but resource usage depends on the number and type of active servers.
Q: Does the application collect my data? A: No. The application only facilitates communication between AI applications and local MCP servers. It doesn't collect or transmit user data.
Q: Can I run the app without internet access? A: Once servers are installed, many can function without internet access, though some may require online services to operate fully.
Q: Do I need to install additional dependencies? A: Yes. Most servers require either Python or Node.js. The application will guide you through installing these if they're missing.
Q: How do I know which servers I need? A: Start with the servers that match your use cases. For development, SkyDeck AI Code is recommended. For specialized coding tasks, Claude Code is useful. You can always install additional servers as needed.
Q: Can I develop my own MCP servers? A: Yes. The MCP protocol is open, and developers can create custom servers. Check the MCP documentation at for development guides.