lmstudio-mcp-server/postinstall.js

LM Studio MCP server with concurrent multi-agent support and memory safety

#!/usr/bin/env node

/**
 * Post-installation script for @samscarrow/lmstudio-mcp
 * Runs after npm install to set up the package
 */

const fs = require('fs');
const path = require('path');
const { execSync } = require('child_process');

async function postInstall() {
    console.log('🚀 Setting up LM Studio MCP...');
    
    try {
        // Make the bin script executable
        const binPath = path.join(__dirname, 'bin', 'lmstudio-mcp.js');
        if (fs.existsSync(binPath)) {
            fs.chmodSync(binPath, '755');
            console.log('✅ Made binary executable');
        }
        
        // Check if Python 3 is available
        try {
            execSync('python3 --version', { stdio: 'pipe' });
            console.log('✅ Python 3 detected');
        } catch (error) {
            console.log('⚠️  Python 3 not found. You may need to install it from https://python.org');
        }
        
        // Show usage information
        console.log(`
📦 Installation complete!

Usage:
  npx @samscarrow/lmstudio-mcp              # Start the server
  npx @samscarrow/lmstudio-mcp --help       # Show help

Requirements:
  - Python 3.7+ (for the MCP server)
  - LM Studio running with a model loaded

Configuration:
  Set LMSTUDIO_API_BASE environment variable if LM Studio runs on a different host/port
  Default: http://localhost:1234/v1

The server will automatically download and set up the Python components on first run.
        `);
        
    } catch (error) {
        console.error('❌ Post-install setup failed:', error.message);
        console.log('You can still use the package, but some features may not work correctly.');
    }
}

// Run post-install if this script is executed directly
if (require.main === module) {
    postInstall().catch(console.error);
}

module.exports = postInstall;