Skales
Local-first AI desktop agent for Windows, macOS, Linux & Android. Codework, multi-agent teams, desktop automation, 15+ AI providers. No Docker. No terminal. AI Companion. Agent Skills (SKILL.md). Migration-Importer, BYOK, from 6 to 60+. Recurring Aut
What is Skales?
Skales is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to local-first ai desktop agent for windows, macos, linux & android. codework, multi-agent teams, desktop automation, 15+ ai providers. no docker. no terminal. ai companion. agent skills (skill.md). migr...
Local-first AI desktop agent for Windows, macOS, Linux & Android. Codework, multi-agent teams, desktop automation, 15+ AI providers. No Docker. No terminal. AI Companion. Agent Skills (SKILL.md). Migration-Importer, BYOK, from 6 to 60+. Recurring Aut
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Local-first AI desktop agent for Windows, macOS, Linux & And
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx skalesConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Skales
Skales is a local-first AI desktop agent that runs on Windows, macOS, Linux, and Android, giving you a unified interface to 15+ AI providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, Mistral, and local models via Ollama or LM Studio. It exposes 139+ built-in tools spanning file operations, shell execution, browser automation, email, calendar, messaging platforms, code deployment, and desktop control—all without requiring Docker or a terminal. Developers and power users choose Skales to orchestrate multi-agent workflows, automate desktop tasks, and access community-published Agent Skills (SKILL.md) without leaving a single app.
Prerequisites
- Windows, macOS, Linux, or Android device (desktop installer or APK from skales.app)
- At least one AI provider API key (Anthropic, OpenAI, Google AI, Groq, etc.) or a local Ollama/LM Studio instance
- Node.js 18+ if using the npx launcher
- An MCP-compatible client (Claude Desktop, Cursor, etc.) if integrating via MCP
Download and install Skales
Visit skales.app and download the installer for your platform: a signed DMG for macOS, an EXE for Windows, a .deb package or AppImage for Linux, or the Google Play beta for Android. Run the installer and launch Skales.
npx skalesConfigure your AI provider
Open Settings → AI Providers and enter your API key for the model you want to use. Skales supports OpenAI, Anthropic Claude, Google Gemini, Groq, DeepSeek, Mistral, xAI, Cerebras, OpenRouter, and local servers like Ollama, LM Studio, and KoboldCpp.
Set up web search (optional)
Go to Settings → Integrations → Web Search to enable DuckDuckGo (no key required), Brave Search, or a self-hosted SearXNG instance. This gives agents real-time web access.
Configure MCP integration
To use Skales as an MCP server with Claude Desktop or another client, add it to your MCP configuration file. Skales stores all data locally in ~/.skales-data.
{
"mcpServers": {
"skales": {
"command": "npx",
"args": ["skales"]
}
}
}Browse and install Agent Skills
Open the Agent Skills browser inside Skales to discover 1000+ community-published SKILL.md skills. Install any skill to extend agent capabilities with pre-built workflows for coding, automation, CMS management, and more.
Create a multi-agent workflow
Use Skales Studio to wire multiple agents together using the Agent2Agent (A2A) delegation standard, assigning different AI providers or skill sets to each agent in your pipeline.
Skales Examples
Client configuration
Add Skales to your Claude Desktop MCP configuration to use it as an agent tool provider.
{
"mcpServers": {
"skales": {
"command": "npx",
"args": ["skales"]
}
}
}Prompts to try
Once connected, use these prompts to explore Skales capabilities across its 139+ built-in tools.
- "Take a screenshot of my desktop and describe what's on screen"
- "Read all .ts files in ~/projects/myapp and summarize the architecture"
- "Send a Telegram message to my saved contact with today's task summary"
- "Clone the repo at github.com/example/project, run npm install, and deploy to Vercel"
- "Check my Google Calendar for tomorrow and draft a preparation email for each meeting"Troubleshooting Skales
npx skales fails to launch or shows a version mismatch
Ensure Node.js 18+ is installed. Run `node --version` to verify. If npx caches an old version, clear it with `npx --yes skales` or download the native installer from skales.app for your platform.
AI provider returns authentication errors
Double-check your API key in Settings → AI Providers. Ensure the key has sufficient credits and that the selected model is available on your subscription tier. For local models (Ollama/LM Studio), confirm the server is running on the expected port.
Agent Skills are not appearing after installation
Restart the Skales app after installing a new skill. Skills are stored in ~/.skales-data and may require a reload to be picked up by the agent runtime. Check the skill's SKILL.md for any additional prerequisites.
Frequently Asked Questions about Skales
What is Skales?
Skales is a Model Context Protocol (MCP) server that local-first ai desktop agent for windows, macos, linux & android. codework, multi-agent teams, desktop automation, 15+ ai providers. no docker. no terminal. ai companion. agent skills (skill.md). migration-importer, byok, from 6 to 60+. recurring aut It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Skales?
Follow the installation instructions on the Skales GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Skales?
Skales works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Skales free to use?
Yes, Skales is open source and available under the NOASSERTION license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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