NanoBanana MCP

import axios from 'axios'; const API_KEY = 'AIzaSyCUV7n63Ds8qFYmjtwSrgfRzxajZ0zF83Y'; async function testImageGeneration() { try { const listModelsResponse = await axios.get( `https://generativelanguage.googleapis.com/v1beta/models?key=${API_KEY}` ); const models = listModelsResponse.data.models.map((m: any) => m.name); console.log('All Models Count:', models.length); const imageModels = models.filter((m: string) => m.includes('imagen') || m.includes('image')); console.log('Image Generation Models:', imageModels); // Testing generation with the first found imagen model or specific one const targetModel = imageModels.find((m: string) => m.includes('imagen-3.0-generate-001')) || 'models/imagen-3.0-generate-001'; console.log('Testing generation with:', targetModel); // Try Vertex-style 'predict' payload typically used for Imagen // URL: .../models/...:predict // Payload: { instances: [{ prompt: "A banana" }] } try { console.log('Trying predict endpoint...'); const response = await axios.post( `https://generativelanguage.googleapis.com/v1beta/${targetModel}:predict?key=${API_KEY}`, { instances: [ { prompt: 'A banana' } ], parameters: { sampleCount: 1 } } ); console.log('Predict Success! Response keys:', Object.keys(response.data)); if (response.data.predictions) { console.log('Got predictions!'); } } catch (e: any) { console.log('Predict endpoint failed:', e.response ? e.response.data : e.message); // Try generateContent (Gemini style) try { console.log('Trying generateContent endpoint...'); const response2 = await axios.post( `https://generativelanguage.googleapis.com/v1beta/${targetModel}:generateContent?key=${API_KEY}`, { contents: [{ parts: [{ text: "A banana" }] }] } ); console.log('GenerateContent Success!', Object.keys(response2.data)); } catch (e2: any) { console.log('GenerateContent failed:', e2.response ? e2.response.data : e2.message); } } } catch (error: any) { console.error('Error listing models:', error.response ? error.response.data : error.message); } } testImageGeneration();