Skip to main content
Glama

Gemini Pro MCP Server

by lutic1
test-connection.mjs2.54 kB
#!/usr/bin/env node import { GoogleGenerativeAI } from '@google/generative-ai'; async function testGeminiConnection() { const apiKey = process.env.GEMINI_API_KEY; if (!apiKey) { console.error('❌ GEMINI_API_KEY environment variable is not set'); console.log('Please set it with: export GEMINI_API_KEY="your-api-key"'); process.exit(1); } console.log('✅ API Key found'); console.log('🔄 Testing Gemini API connection...'); try { const genAI = new GoogleGenerativeAI(apiKey); // First, let's list available models console.log('📋 Checking available models...'); // Try the newer model name const model = genAI.getGenerativeModel({ model: 'gemini-1.5-flash' }); const result = await model.generateContent({ contents: [{ role: 'user', parts: [{ text: 'Hello, respond with just "Connection successful!"' }] }], generationConfig: { maxOutputTokens: 10, temperature: 0.1, }, }); const response = result.response.text(); console.log('✅ Gemini API Response:', response); console.log('✅ Connection test passed with gemini-1.5-flash!'); } catch (error) { console.error('❌ Gemini API Error with gemini-1.5-flash:', error.message); // Try alternative model names try { console.log('🔄 Trying gemini-1.5-pro...'); const genAI = new GoogleGenerativeAI(apiKey); const model = genAI.getGenerativeModel({ model: 'gemini-1.5-pro' }); const result = await model.generateContent('Hello, respond with just "Connection successful!"'); const response = result.response.text(); console.log('✅ Gemini API Response:', response); console.log('✅ Connection test passed with gemini-1.5-pro!'); } catch (error2) { console.error('❌ Gemini API Error with gemini-1.5-pro:', error2.message); if (error2.message.includes('API_KEY_INVALID')) { console.log('💡 Your API key appears to be invalid. Please check:'); console.log(' - Go to https://aistudio.google.com/app/apikey'); console.log(' - Create a new API key'); console.log(' - Make sure you copied it correctly'); } else if (error2.message.includes('quota')) { console.log('💡 You may have exceeded your API quota'); } else { console.log('💡 Available models may be different. Check the Google AI Studio documentation.'); } process.exit(1); } } } testGeminiConnection();

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/lutic1/Google-MCP-Server-'

If you have feedback or need assistance with the MCP directory API, please join our Discord server