AI Developer Tools MCP Server

/** * Mock data for demonstration purposes * * In production, this would be replaced with real database queries or API calls. * This simplified dataset demonstrates the data structures and patterns without * exposing proprietary business logic. */ // Simplified tool metadata export const TOOLS = { 'openai': { name: 'OpenAI SDK', package: 'openai', description: 'Official OpenAI API client', category: 'llm-api' }, 'anthropic': { name: 'Anthropic SDK', package: '@anthropic-ai/sdk', description: 'Official Anthropic API client', category: 'llm-api' }, 'cursor': { name: 'Cursor', package: 'cursor-api', description: 'AI-first code editor', category: 'editor' }, 'copilot': { name: 'GitHub Copilot', package: '@github/copilot', description: 'AI pair programmer', category: 'assistant' }, 'langchain': { name: 'LangChain', package: 'langchain', description: 'Framework for LLM applications', category: 'framework' } }; // Mock current adoption metrics (would come from latest_npm_stats in production) export const CURRENT_METRICS = { 'openai': { npm_downloads_monthly: 36_143_000, npm_downloads_weekly: 8_650_000, github_stars: 18_500, stackoverflow_questions_30d: 145, reddit_mentions_30d: 892, last_updated: '2025-01-15' }, 'anthropic': { npm_downloads_monthly: 13_925_000, npm_downloads_weekly: 3_349_000, github_stars: 4_200, stackoverflow_questions_30d: 67, reddit_mentions_30d: 423, last_updated: '2025-01-15' }, 'cursor': { npm_downloads_monthly: 450_000, npm_downloads_weekly: 112_000, github_stars: 12_300, stackoverflow_questions_30d: 89, reddit_mentions_30d: 1_250, last_updated: '2025-01-15' }, 'copilot': { npm_downloads_monthly: 2_100_000, npm_downloads_weekly: 525_000, github_stars: 8_900, stackoverflow_questions_30d: 234, reddit_mentions_30d: 678, last_updated: '2025-01-15' }, 'langchain': { npm_downloads_monthly: 5_711_000, npm_downloads_weekly: 1_427_000, github_stars: 87_500, stackoverflow_questions_30d: 456, reddit_mentions_30d: 1_890, last_updated: '2025-01-15' } }; // Mock historical data for trend analysis (would come from npm_packages in production) // Simplified to just show monthly snapshots export const HISTORICAL_DATA = { 'openai': [ { month: '2024-07', downloads: 18_500_000 }, { month: '2024-08', downloads: 21_200_000 }, { month: '2024-09', downloads: 24_800_000 }, { month: '2024-10', downloads: 28_100_000 }, { month: '2024-11', downloads: 32_400_000 }, { month: '2024-12', downloads: 36_143_000 } ], 'anthropic': [ { month: '2024-07', downloads: 6_200_000 }, { month: '2024-08', downloads: 7_800_000 }, { month: '2024-09', downloads: 9_500_000 }, { month: '2024-10', downloads: 11_200_000 }, { month: '2024-11', downloads: 12_800_000 }, { month: '2024-12', downloads: 13_925_000 } ], 'cursor': [ { month: '2024-07', downloads: 120_000 }, { month: '2024-08', downloads: 180_000 }, { month: '2024-09', downloads: 250_000 }, { month: '2024-10', downloads: 320_000 }, { month: '2024-11', downloads: 390_000 }, { month: '2024-12', downloads: 450_000 } ], 'copilot': [ { month: '2024-07', downloads: 1_800_000 }, { month: '2024-08', downloads: 1_850_000 }, { month: '2024-09', downloads: 1_920_000 }, { month: '2024-10', downloads: 1_980_000 }, { month: '2024-11', downloads: 2_050_000 }, { month: '2024-12', downloads: 2_100_000 } ], 'langchain': [ { month: '2024-07', downloads: 4_100_000 }, { month: '2024-08', downloads: 4_450_000 }, { month: '2024-09', downloads: 4_820_000 }, { month: '2024-10', downloads: 5_200_000 }, { month: '2024-11', downloads: 5_450_000 }, { month: '2024-12', downloads: 5_711_000 } ] }; /** * Calculate growth rate between two periods */ export function calculateGrowth(current, previous) { if (!previous || previous === 0) return 0; return ((current - previous) / previous) * 100; } /** * Get growth metrics for a tool over specified period */ export function getGrowthMetrics(toolId, months = 1) { const history = HISTORICAL_DATA[toolId]; if (!history || history.length < 2) return null; const latest = history[history.length - 1]; const compare = history[Math.max(0, history.length - 1 - months)]; return { current: latest.downloads, previous: compare.downloads, growth_pct: calculateGrowth(latest.downloads, compare.downloads), period_months: months }; } /** * Get all tools sorted by a metric */ export function getToolsByMetric(metric = 'npm_downloads_monthly', limit = 10) { const tools = Object.entries(CURRENT_METRICS) .map(([id, data]) => ({ id, ...TOOLS[id], ...data })) .sort((a, b) => (b[metric] || 0) - (a[metric] || 0)) .slice(0, limit); return tools; } /** * Search tools by various criteria */ export function searchTools(query = {}) { const { category, min_downloads, keyword } = query; let results = Object.entries(TOOLS).map(([id, tool]) => ({ id, ...tool, ...CURRENT_METRICS[id] })); if (category) { results = results.filter(t => t.category === category); } if (min_downloads) { results = results.filter(t => t.npm_downloads_monthly >= min_downloads); } if (keyword) { const lowerKeyword = keyword.toLowerCase(); results = results.filter(t => t.name.toLowerCase().includes(lowerKeyword) || t.description.toLowerCase().includes(lowerKeyword) ); } return results; }