Presearch MCP Server

import { tools } from './src/tools/index.js'; import { loadConfig } from './src/core/config.js'; async function demonstrateAiAgentAccess() { console.log('🤖 Demonstrating How AI Agents Access MCP Content...\n'); const config = loadConfig(); if (!config.apiKey) { console.warn('⚠️ WARNING: PRESEARCH_API_KEY is not set. Some features may not work.'); } try { console.log('📋 Available MCP Tools for AI Agents:'); console.log('====================================='); tools.forEach((tool, index) => { console.log(`${index + 1}. ${tool.name}`); console.log(` Description: ${tool.description}`); console.log(''); }); console.log('\n🔍 Testing AI Agent Workflows...'); console.log('================================='); // Example 1: AI Agent searches for information console.log('\n1️⃣ AI Agent: "Find latest AI breakthroughs"'); const searchTool = tools.find(t => t.name === 'presearch_ai_search'); if (searchTool && config.apiKey) { console.log(' 🛠️ Using tool:', searchTool.name); console.log(' 📥 Input: { query: "latest AI breakthroughs December 2024", limit: 3 }'); const searchResults = await searchTool.execute({ query: "latest AI breakthroughs December 2024", limit: 3 }); console.log(' 📤 Output received:'); console.log(` - Results count: ${searchResults.results.length}`); console.log(` - First result title: "${searchResults.results[0]?.title}"`); console.log(` - First result URL: ${searchResults.results[0]?.url}`); console.log(` - Sample snippet: "${searchResults.results[0]?.snippet?.substring(0, 100)}..."`); } // Example 2: AI Agent exports results console.log('\n2️⃣ AI Agent: "Export these results to a file"'); const exportTool = tools.find(t => t.name === 'export_search_results'); if (exportTool) { console.log(' 🛠️ Using tool:', exportTool.name); // Create sample data for export const sampleResults = [ { title: "AI Breakthrough in December 2024", url: "https://example.com/ai-breakthrough", snippet: "Researchers announced a major advancement in AI technology...", description: "Detailed analysis of the breakthrough...", source: "example.com", publishedDate: "2024-12-14" } ]; console.log(' 📥 Input: { results: [...], format: "json", filename: "ai_research.json" }'); const exportResult = await exportTool.execute({ results: sampleResults, format: "json", filename: "ai_agent_demo_export.json" }); console.log(' 📤 Output received:'); console.log(` - Format: ${exportResult.format}`); console.log(` - Count: ${exportResult.count}`); console.log(` - File saved: ${exportResult.content}`); } // Example 3: AI Agent conducts deep research console.log('\n3️⃣ AI Agent: "Conduct comprehensive research on quantum computing"'); const researchTool = tools.find(t => t.name === 'presearch_deep_research'); if (researchTool && config.apiKey) { console.log(' 🛠️ Using tool:', researchTool.name); console.log(' 📥 Input: { query: "quantum computing applications 2024", depth: 1, breadth: 2 }'); const researchResults = await researchTool.execute({ query: "quantum computing applications 2024", depth: 1, breadth: 2, research_focus: "technology" }); console.log(' 📤 Output received:'); console.log(` - Success: ${researchResults.success}`); console.log(` - Sources analyzed: ${researchResults.research_summary?.sources_analyzed}`); console.log(` - Research summary:`, researchResults.research_summary); if (researchResults.analysis) { console.log(` - Analysis available: ${Object.keys(researchResults.analysis).length} sections`); } } // Example 4: AI Agent scrapes specific content console.log('\n4️⃣ AI Agent: "Scrape content from specific URLs"'); const scrapeTool = tools.find(t => t.name === 'scrape_url'); if (scrapeTool) { console.log(' 🛠️ Using tool:', scrapeTool.name); console.log(' 📥 Input: { urls: ["https://example.com"], include_text: true }'); const scrapeResults = await scrapeTool.execute({ url: "https://example.com", include_text: true }); console.log(' 📤 Output received:'); console.log(` - URL: ${scrapeResults.url}`); console.log(` - Title: ${scrapeResults.title}`); console.log(` - Content length: ${scrapeResults.text?.length || 0} characters`); console.log(` - Status: ${scrapeResults.status}`); } console.log('\n✅ AI Agent Access Demonstration Complete!'); console.log('\n📝 Key Points for AI Agents:'); console.log(' • AI agents call MCP tools with structured parameters'); console.log(' • Results are returned as JSON objects'); console.log(' • Files are saved locally when export tools are used'); console.log(' • AI agents can chain multiple tools for complex workflows'); console.log(' • All tools support both string and native parameter types'); console.log(' • Error handling provides clear feedback to AI agents'); } catch (error) { console.error('❌ Demonstration failed:', error.message); console.error('Stack:', error.stack); if (error.response) { console.error('API Response:', error.response.data); } } } // Run the demonstration demonstrateAiAgentAccess().catch(err => { console.error('Fatal Error:', err); process.exit(1); });