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Gemini Context MCP Server

by ogoldberg
add-improvements.js1.91 kB
// Simple script to add improvements to Gemini context import dotenv from 'dotenv'; import { GeminiContextServer } from './dist/gemini-context-server.js'; dotenv.config(); async function addImprovements() { // Create the server instance const server = new GeminiContextServer(); // Improvements to add const improvements = `Future Improvement Suggestions for Gemini Context Server: 1. Add persistence layer: Implement database storage for sessions and caches to survive restarts 2. Cache size management: Add maximum cache size limits and LRU eviction policies 3. Vector-based semantic search: Improve search with proper embeddings instead of basic text matching 4. Analytics and metrics: Track cache hit rates, token usage patterns, and query distributions 5. Vector store integration: Connect to dedicated vector stores like Pinecone or Weaviate 6. Batch operations: Support bulk context operations for efficiency 7. Hybrid caching strategy: Try native API caching when available, fall back to custom implementation 8. Auto-optimization: Analyze and reduce prompt sizes while preserving context`; try { // Add the improvements to context console.log('Adding improvements to context...'); await server.addEntry('system', improvements, { topic: 'improvements', tags: ['caching', 'performance', 'roadmap'] }); console.log('Successfully added improvements to context'); // Search for the improvements console.log('\nSearching for improvements...'); const results = await server.searchContext('improvements'); console.log('Search results:'); console.log(JSON.stringify(results, null, 2)); // Clean up await server.cleanup(); console.log('\nDone!'); } catch (error) { console.error('Error:', error); } } addImprovements();

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