🍎 🪟 🐧 ☁️ 🏠 🐍 - Magg: A meta-MCP server that acts as a universal hub, allowing LLMs to autonomously discover, install, and orchestrate multiple MCP servers - essentially giving AI assistants the p
Install
npx -y @executeautomation/calculator-mcpRequired environment variables
MAGG_PRIVATE_KEYSet in your MCP configclaude_desktop_config.json
{
"mcpServers": {
"sitbon-magg": {
"command": "npx",
"args": [
"-y",
"@executeautomation/calculator-mcp"
],
"env": {
"MAGG_PRIVATE_KEY": "<YOUR_MAGG_PRIVATE_KEY>"
}
}
}
}Add this to your Claude Desktop config file. Find it at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS.
What this does
sitbon/magg exposes a set of tools to Claude over the Model Context Protocol. After you add it to claude_desktop_config.json (snippet above) and restart Claude Desktop, those tools become callable inside any conversation. That makes it useful when you want Claude to reach into other AI providers and LLM tooling without copy-pasting context every turn.
Requirements
This server needs the following environment variables to be set before it can run:
MAGG_PRIVATE_KEY
Set these via the env object in your MCP config (see claude_desktop_config.json snippet above).
Common use cases
- •Delegate reasoning to a different model or LLM provider from a Claude session
- •Pull live model documentation, rate limits, or usage data into context
- •Chain Claude with another agent or evaluation pipeline
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