Genkit MCP

/** * Copyright 2025 Google LLC * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ import { anthropic } from '@genkit-ai/anthropic'; import * as fs from 'fs'; import { genkit } from 'genkit'; import * as path from 'path'; const ai = genkit({ plugins: [anthropic()], }); /** * This flow demonstrates image analysis using a publicly accessible URL. * Claude will describe what it sees in the image. */ ai.defineFlow('stable-vision-url', async () => { // Using a Wikipedia Commons image (public domain) const imageUrl = 'https://upload.wikimedia.org/wikipedia/commons/thumb/3/3a/Cat03.jpg/1200px-Cat03.jpg'; const { text } = await ai.generate({ model: anthropic.model('claude-sonnet-4-5'), messages: [ { role: 'user', content: [ { text: 'What do you see in this image? Describe it in detail.' }, { media: { url: imageUrl, }, }, ], }, ], }); return text; }); /** * This flow demonstrates image analysis using a local file. * The image is read from disk and sent as a base64 data URL. */ ai.defineFlow('stable-vision-base64', async () => { // Read image file from the same directory as this source file const imagePath = path.join(__dirname, 'sample-image.png'); const imageBuffer = fs.readFileSync(imagePath); const imageBase64 = imageBuffer.toString('base64'); const { text } = await ai.generate({ model: anthropic.model('claude-sonnet-4-5'), messages: [ { role: 'user', content: [ { text: 'Describe this image. What objects, colors, and scenes do you observe?', }, { media: { url: `data:image/png;base64,${imageBase64}`, contentType: 'image/png', }, }, ], }, ], }); return text; }); /** * This flow demonstrates multi-turn conversation about an image. * Claude can answer follow-up questions about images it has seen. */ ai.defineFlow('stable-vision-conversation', async () => { const imagePath = path.join(__dirname, 'sample-image.png'); const imageBuffer = fs.readFileSync(imagePath); const imageBase64 = imageBuffer.toString('base64'); const { text } = await ai.generate({ model: anthropic.model('claude-sonnet-4-5'), messages: [ { role: 'user', content: [ { text: 'What do you see in this image?' }, { media: { url: `data:image/png;base64,${imageBase64}`, contentType: 'image/png', }, }, ], }, { role: 'model', content: [ { text: 'I see a beautiful mountain landscape with a fjord or lake, green hills, and dramatic peaks under a blue sky with wispy clouds.', }, ], }, { role: 'user', content: [ { text: 'What time of day do you think this photo was taken, and what season might it be?', }, ], }, ], }); return text; });