Vesta macOS
Vesta macOS Distribution - Official releases and downloads.Vesta AI Chat Assistant for macOS - Built with SwiftUI, Swift MLX and Apple Intelligence using Apple's on device model on MacOs Tahoe (MacOS 26). Now with side-by-side Qwen3-VL for vison
What is Vesta macOS?
Vesta macOS is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to vesta macos distribution - official releases and downloads.vesta ai chat assistant for macos - built with swiftui, swift mlx and apple intelligence using apple's on device model on macos tahoe (macos ...
Vesta macOS Distribution - Official releases and downloads.Vesta AI Chat Assistant for macOS - Built with SwiftUI, Swift MLX and Apple Intelligence using Apple's on device model on MacOs Tahoe (MacOS 26). Now with side-by-side Qwen3-VL for vison
This server falls under the Cloud Services category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Vesta macOS Distribution - Official releases and downloads.V
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx vesta-mac-distConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Vesta macOS
Vesta is a native macOS AI chat assistant built with SwiftUI and Swift MLX, designed for Apple Silicon Macs running macOS 26 (Tahoe) or later. It integrates Apple's on-device Foundation Models with Apple Intelligence and also supports Qwen3-VL for vision tasks, giving users a fully local, privacy-preserving AI experience. Through its MCP server, Vesta exposes over 40 tools that let external MCP clients like Claude Code programmatically manage backends, load models, analyze images, and search conversation history.
Prerequisites
- macOS 26 (Tahoe) or later
- Apple Silicon Mac (M1, M2, M3, or M4 chip)
- Microphone access enabled in System Settings for voice features
- Homebrew installed for the recommended installation method
- An MCP-compatible client such as Claude Code for using the MCP integration
Install Vesta via Homebrew (recommended)
Add the custom tap and install the Vesta macOS app. Homebrew handles downloading the signed release DMG.
brew tap scouzi1966/afm
brew install --cask scouzi1966/afm/vesta-macOr install a nightly build
If you want the latest features ahead of stable releases, install the nightly cask instead.
brew install --cask scouzi1966/afm/vesta-mac-nextVerify the app signature
After installation, verify the application is properly signed before running it for the first time.
codesign --verify --deep --strict /Applications/Vesta.app
spctl --assess --type execute /Applications/Vesta.appLaunch Vesta and configure a backend
Open Vesta from your Applications folder. Navigate to the Settings panel to select a backend (Apple Foundation Models, MLX, or a cloud API). Configure API tokens through the in-app settings; credentials are stored securely in the macOS Keychain.
Enable the MCP server in Vesta
In Vesta's settings, enable the built-in MCP server. Note the server address (typically localhost with a configured port) for use in your MCP client configuration.
Connect Claude Code or another MCP client
Add the Vesta MCP server to your MCP client configuration so you can control Vesta programmatically via natural language commands.
Vesta macOS Examples
Client configuration
Example Claude Desktop configuration to connect to Vesta's built-in MCP server running on localhost.
{
"mcpServers": {
"vesta": {
"command": "npx",
"args": ["vesta-mac-dist"]
}
}
}Prompts to try
Once connected via MCP, you can control Vesta and query its state using natural language.
- "List all available AI backends in Vesta and which one is currently active."
- "Load the Qwen3-VL model and analyze this screenshot for any UI issues."
- "Search my Vesta conversation history for any discussion about machine learning."
- "Switch Vesta to the Apple Foundation Models backend."
- "Show me the system information and current model loading status."Troubleshooting Vesta macOS
Vesta won't launch because macOS Gatekeeper blocks the app
Run 'spctl --assess --type execute /Applications/Vesta.app' to check the signature. If blocked, go to System Settings > Privacy & Security and click 'Open Anyway'. The app is notarized by Apple so this should only occur once.
Apple Foundation Models are not available in Vesta
Apple's on-device Foundation Models require macOS 26 (Tahoe) on Apple Silicon. Ensure you are running the correct OS version on an M-series chip. Older Intel Macs are not supported.
MCP server tools are not visible to the connected client
Ensure the MCP server is explicitly enabled in Vesta's settings panel — it may be disabled by default. Restart both Vesta and your MCP client after enabling the server.
Frequently Asked Questions about Vesta macOS
What is Vesta macOS?
Vesta macOS is a Model Context Protocol (MCP) server that vesta macos distribution - official releases and downloads.vesta ai chat assistant for macos - built with swiftui, swift mlx and apple intelligence using apple's on device model on macos tahoe (macos 26). now with side-by-side qwen3-vl for vison It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Vesta macOS?
Follow the installation instructions on the Vesta macOS GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Vesta macOS?
Vesta macOS works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Vesta macOS free to use?
Yes, Vesta macOS is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up Vesta macOS in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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