Memory Engineering MCP

#!/usr/bin/env tsx import { MongoClient } from 'mongodb'; import { config } from 'dotenv'; config({ path: '.env.local' }); async function recreateVectorIndex(): Promise<void> { const uri = process.env.MONGODB_URI; if (!uri) { console.error('MONGODB_URI environment variable is not set'); process.exit(1); } const client = new MongoClient(uri); try { await client.connect(); console.log('Connected to MongoDB\n'); const dbName = process.env.MEMORY_ENGINEERING_DB || process.env.MEMORY_BANK_DB || 'memory_engineering'; const collectionName = process.env.MEMORY_ENGINEERING_COLLECTION || process.env.MEMORY_BANK_COLLECTION || 'memory_engineering_documents'; const db = client.db(dbName); const collection = db.collection(collectionName); // Drop existing vector search index console.log('🗑️ Dropping existing vector search index...'); try { await collection.dropSearchIndex('memory_vector_index'); console.log('✓ Dropped memory_vector_index'); // Wait a bit for the drop to complete await new Promise(resolve => setTimeout(resolve, 5000)); } catch (error: any) { console.log('Could not drop index (may not exist):', error.message); } // Create new vector search index with filter support console.log('\n🚀 Creating new vector search index with filter support...'); try { await collection.createSearchIndex({ name: 'memory_vector_index', type: 'vectorSearch', definition: { fields: [ { type: 'vector', numDimensions: 1024, path: 'contentVector', similarity: 'cosine', }, { type: 'filter', path: 'projectId', }, ], }, }); console.log('✓ Vector search index created successfully!'); console.log('\n⏳ Note: It may take a few minutes for the index to become fully operational.'); console.log(' You can check the status in MongoDB Atlas UI.'); } catch (error) { console.error('❌ Error creating index:', error); } // List all search indexes console.log('\n📋 Current search indexes:'); try { const searchIndexes = await collection.listSearchIndexes().toArray(); searchIndexes.forEach((index: any) => { console.log(`- ${index.name} (${index.type}): Status = ${index.status || 'BUILDING'}`); console.log(` Definition: ${JSON.stringify(index.latestDefinition || index.definition, null, 2)}`); }); } catch (error) { console.log('Unable to list search indexes'); } } catch (error) { console.error('Error:', error); process.exit(1); } finally { await client.close(); } } recreateVectorIndex();