Fabric-Analytics-MCP

#!/usr/bin/env node // Count tools in the MCP server import { readFileSync } from 'fs'; try { const indexContent = readFileSync('src/index.ts', 'utf-8'); // Count server.tool( occurrences const toolMatches = indexContent.match(/server\.tool\(/g) || []; const toolCount = toolMatches.length; console.log('🔧 Tool Count Analysis'); console.log('===================='); console.log(`📊 Total tools found: ${toolCount}`); // Extract tool names const toolNameRegex = /server\.tool\(\s*["']([^"']+)["']/g; const toolNames = []; let match; while ((match = toolNameRegex.exec(indexContent)) !== null) { toolNames.push(match[1]); } console.log('\n📋 Tool categories:'); const categories = {}; toolNames.forEach(name => { const category = name.split('-')[0]; categories[category] = (categories[category] || 0) + 1; }); Object.entries(categories).sort().forEach(([cat, count]) => { console.log(` ${cat}: ${count} tools`); }); console.log('\n🎯 New Spark monitoring tools added:'); const sparkTools = toolNames.filter(name => name.includes('spark') || name.includes('mcp_fabric-analyt2') ); sparkTools.forEach(tool => { console.log(` - ${tool}`); }); console.log(`\n✅ Successfully added ${sparkTools.length} Spark monitoring tools!`); console.log(`🎉 Total comprehensive tools: ${toolCount}`); } catch (error) { console.error('❌ Error analyzing tools:', error.message); }