AI Developer Tools MCP Server

/** * Search Tool * * Search and filter AI developer tools by various criteria. * * Design Decisions: * - All parameters are optional (flexible querying) * - Supports combining filters (category AND min_downloads) * - Returns structured summaries rather than raw data dumps * * This demonstrates a pattern where the tool provides flexible querying * capabilities, letting Claude construct sophisticated queries based on * user questions. * * Example user queries that would use this: * - "Show me all LLM API SDKs" * - "What frameworks have over 5M downloads?" * - "Find tools related to cursor" */ import { searchTools as searchData, CURRENT_METRICS } from '../data/mock-data.js'; export const searchTool = { name: 'search_tools', description: 'Search and filter AI developer tools by category, popularity, or keyword', inputSchema: { type: 'object', properties: { category: { type: 'string', enum: ['llm-api', 'editor', 'assistant', 'framework'], description: 'Filter by tool category' }, min_downloads: { type: 'integer', minimum: 0, description: 'Minimum monthly downloads (e.g., 1000000 for 1M+)' }, keyword: { type: 'string', description: 'Search for keyword in tool name or description' }, sort_by: { type: 'string', enum: ['downloads', 'stars', 'name'], default: 'downloads', description: 'How to sort results' } }, // No required parameters - all filters are optional additionalProperties: false }, async execute(args) { const { category, min_downloads, keyword, sort_by = 'downloads' } = args; // Perform search let results = searchData({ category, min_downloads, keyword }); // Apply sorting if (sort_by === 'downloads') { results.sort((a, b) => b.npm_downloads_monthly - a.npm_downloads_monthly); } else if (sort_by === 'stars') { results.sort((a, b) => b.github_stars - a.github_stars); } else if (sort_by === 'name') { results.sort((a, b) => a.name.localeCompare(b.name)); } // Build output let output = `🔍 AI Developer Tools Search Results\n\n`; // Show active filters const activeFilters = []; if (category) activeFilters.push(`Category: ${category}`); if (min_downloads) activeFilters.push(`Min Downloads: ${formatNumber(min_downloads)}`); if (keyword) activeFilters.push(`Keyword: "${keyword}"`); if (activeFilters.length > 0) { output += `**Filters:** ${activeFilters.join(' | ')}\n`; output += `**Sort:** ${sort_by}\n\n`; } // Results if (results.length === 0) { output += `No tools found matching your criteria.`; return output; } output += `**Found ${results.length} tool${results.length === 1 ? '' : 's'}:**\n\n`; results.forEach((tool, index) => { output += `${index + 1}. **${tool.name}** (\`${tool.package}\`)\n`; output += ` - ${tool.description}\n`; output += ` - Category: ${tool.category}\n`; output += ` - Monthly Downloads: ${formatNumber(tool.npm_downloads_monthly)}\n`; output += ` - GitHub Stars: ${formatNumber(tool.github_stars)}\n`; output += ` - Community: ${tool.stackoverflow_questions_30d} SO questions, ${tool.reddit_mentions_30d} Reddit mentions (30d)\n\n`; }); // Summary stats const totalDownloads = results.reduce((sum, t) => sum + t.npm_downloads_monthly, 0); const avgDownloads = totalDownloads / results.length; output += `**Summary Statistics**\n`; output += `• Total Monthly Downloads: ${formatNumber(totalDownloads)}\n`; output += `• Average per Tool: ${formatNumber(Math.round(avgDownloads))}\n`; return output; } }; function formatNumber(num) { if (num >= 1_000_000) { return `${(num / 1_000_000).toFixed(1)}M`; } else if (num >= 1_000) { return `${(num / 1_000).toFixed(0)}K`; } return num.toString(); }