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feat: add Google Search grounding support for real-time information
Add useGoogleSearch parameter to enable Google Search grounding in image generation. This allows the model to access real-time web information for factually accurate image generation when current or time-sensitive data is needed. Changes: - Add useGoogleSearch parameter to generate_image tool - Implement Google Search grounding via tools API - Add comprehensive tests for useGoogleSearch functionality - Update README with useGoogleSearch parameter documentation - Bump version to 0.4.1 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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‎README.md‎

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@@ -177,6 +177,7 @@ The MCP server exposes a single tool for all image operations. Internally, it us
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| `blendImages` | boolean | - | Enable multi-image blending for combining multiple visual elements naturally |
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| `maintainCharacterConsistency` | boolean | - | Maintain character appearance consistency across different poses and scenes |
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| `useWorldKnowledge` | boolean | - | Use real-world knowledge for accurate context (recommended for historical figures, landmarks, or factual scenarios) |
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| `useGoogleSearch` | boolean | - | Enable Google Search grounding to access real-time web information for factually accurate image generation. Use when prompt requires current or time-sensitive data that may have changed since the model's knowledge cutoff. Leave disabled for creative, fictional, historical, or timeless content. |
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#### Response
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‎package-lock.json‎

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‎package.json‎

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{
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"name": "mcp-image",
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"mcpName": "io.github.shinpr/mcp-image",
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"version": "0.4.0",
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"version": "0.4.1",
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"description": "MCP server for AI image generation",
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"main": "dist/index.js",
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"bin": {

‎server.json‎

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"url": "https://github.com/shinpr/mcp-image",
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"source": "github"
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},
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"version": "0.4.0",
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"version": "0.4.1",
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"packages": [
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{
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"registryType": "npm",
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"registryBaseUrl": "https://registry.npmjs.org",
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"identifier": "mcp-image",
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"version": "0.4.0",
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"version": "0.4.1",
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"transport": {
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"type": "stdio"
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},

‎src/api/__tests__/geminiClient.test.ts‎

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@@ -870,4 +870,237 @@ describe('geminiClient', () => {
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})
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})
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})
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describe('GeminiClient.generateImage with useGoogleSearch', () => {
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it('should call API with tools parameter when useGoogleSearch is true', async () => {
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// Arrange
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const mockResponse = {
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response: {
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candidates: [
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{
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content: {
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parts: [
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{
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inlineData: {
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data: 'base64-grounded-image-data',
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mimeType: 'image/png',
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},
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},
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],
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},
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},
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],
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},
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}
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mockGeminiClientInstance.models.generateContent = vi.fn().mockResolvedValue(mockResponse)
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const clientResult = createGeminiClient(testConfig)
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expect(clientResult.success).toBe(true)
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if (!clientResult.success) return
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const client = clientResult.data
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// Act
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const result = await client.generateImage({
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prompt: 'Generate current 2025 weather map of Tokyo',
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useGoogleSearch: true,
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})
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// Assert
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expect(result.success).toBe(true)
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expect(mockGeminiClientInstance.models.generateContent).toHaveBeenCalledWith({
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model: 'gemini-3-pro-image-preview',
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contents: [
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{
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parts: [
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{
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text: 'Generate current 2025 weather map of Tokyo',
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},
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],
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},
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],
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config: {
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responseModalities: ['IMAGE'],
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},
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tools: [{ googleSearch: {} }],
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})
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})
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it('should not include tools parameter when useGoogleSearch is false', async () => {
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// Arrange
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const mockResponse = {
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response: {
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candidates: [
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{
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content: {
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parts: [
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{
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inlineData: {
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data: 'base64-standard-image',
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mimeType: 'image/png',
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},
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},
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],
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},
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},
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],
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},
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}
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mockGeminiClientInstance.models.generateContent = vi.fn().mockResolvedValue(mockResponse)
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const clientResult = createGeminiClient(testConfig)
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expect(clientResult.success).toBe(true)
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if (!clientResult.success) return
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const client = clientResult.data
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// Act
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const result = await client.generateImage({
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prompt: 'Generate creative fantasy landscape',
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useGoogleSearch: false,
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})
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// Assert
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expect(result.success).toBe(true)
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expect(mockGeminiClientInstance.models.generateContent).toHaveBeenCalledWith({
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model: 'gemini-3-pro-image-preview',
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contents: [
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{
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parts: [
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{
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text: 'Generate creative fantasy landscape',
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},
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],
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},
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],
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config: {
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responseModalities: ['IMAGE'],
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},
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})
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// Verify tools parameter is not included
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const callArgs = (mockGeminiClientInstance.models.generateContent as any).mock.calls[0][0]
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expect(callArgs.tools).toBeUndefined()
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})
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it('should not include tools parameter when useGoogleSearch is undefined', async () => {
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// Arrange
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const mockResponse = {
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response: {
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candidates: [
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{
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content: {
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parts: [
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{
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inlineData: {
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data: 'base64-default-image',
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mimeType: 'image/png',
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},
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},
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],
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},
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},
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],
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},
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}
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mockGeminiClientInstance.models.generateContent = vi.fn().mockResolvedValue(mockResponse)
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const clientResult = createGeminiClient(testConfig)
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expect(clientResult.success).toBe(true)
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if (!clientResult.success) return
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const client = clientResult.data
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// Act
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const result = await client.generateImage({
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prompt: 'Generate image without grounding',
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})
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// Assert
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expect(result.success).toBe(true)
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expect(mockGeminiClientInstance.models.generateContent).toHaveBeenCalledWith({
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model: 'gemini-3-pro-image-preview',
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contents: [
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{
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parts: [
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{
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text: 'Generate image without grounding',
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},
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],
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},
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],
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config: {
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responseModalities: ['IMAGE'],
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},
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})
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// Verify tools parameter is not included
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const callArgs = (mockGeminiClientInstance.models.generateContent as any).mock.calls[0][0]
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expect(callArgs.tools).toBeUndefined()
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})
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it('should combine useGoogleSearch with aspectRatio and imageSize', async () => {
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// Arrange
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const mockResponse = {
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response: {
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candidates: [
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{
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content: {
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parts: [
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{
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inlineData: {
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data: 'base64-grounded-4k-image',
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mimeType: 'image/png',
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},
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},
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],
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},
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},
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],
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},
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}
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mockGeminiClientInstance.models.generateContent = vi.fn().mockResolvedValue(mockResponse)
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const clientResult = createGeminiClient(testConfig)
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expect(clientResult.success).toBe(true)
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if (!clientResult.success) return
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const client = clientResult.data
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// Act
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const result = await client.generateImage({
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prompt: 'Generate 2025 Japan foodtech industry chaos map',
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useGoogleSearch: true,
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aspectRatio: '16:9',
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imageSize: '4K',
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})
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// Assert
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expect(result.success).toBe(true)
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expect(mockGeminiClientInstance.models.generateContent).toHaveBeenCalledWith({
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model: 'gemini-3-pro-image-preview',
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contents: [
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{
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parts: [
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{
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text: 'Generate 2025 Japan foodtech industry chaos map',
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},
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],
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},
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],
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config: {
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imageConfig: {
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aspectRatio: '16:9',
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imageSize: '4K',
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},
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responseModalities: ['IMAGE'],
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},
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tools: [{ googleSearch: {} }],
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})
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})
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})
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})

‎src/api/geminiClient.ts‎

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@@ -144,6 +144,7 @@ export interface GeminiApiParams {
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inputImage?: string
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aspectRatio?: string
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imageSize?: string
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useGoogleSearch?: boolean
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}
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/**
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responseModalities: ['IMAGE'],
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}
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// Construct tools array for Google Search grounding
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const tools = params.useGoogleSearch ? [{ googleSearch: {} }] : undefined
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// Generate content using Gemini API (@google/genai v1.17.0+)
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const rawResponse = await this.genai.models.generateContent({
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model: this.modelName,
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contents: requestContent,
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config,
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...(tools && { tools }),
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})
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// Validate response structure with type guard

‎src/business/structuredPromptGenerator.ts‎

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maintainCharacterConsistency?: boolean
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blendImages?: boolean
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useWorldKnowledge?: boolean
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useGoogleSearch?: boolean
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}
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/**

‎src/server/mcpServer.ts‎

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description:
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'Use real-world knowledge for accurate context. Enable for historical figures, landmarks, or factual scenarios',
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},
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useGoogleSearch: {
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type: 'boolean' as const,
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description:
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"Enable Google Search grounding to access real-time web information for factually accurate image generation. Use when prompt requires current or time-sensitive data that may have changed since the model's knowledge cutoff. Leave disabled for creative, fictional, historical, or timeless content.",
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},
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aspectRatio: {
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type: 'string' as const,
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description: 'Aspect ratio for the generated image',
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if (params.useWorldKnowledge !== undefined) {
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features.useWorldKnowledge = params.useWorldKnowledge
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}
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if (params.useGoogleSearch !== undefined) {
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features.useGoogleSearch = params.useGoogleSearch
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}
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const promptResult = await this.structuredPromptGenerator.generateStructuredPrompt(
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params.prompt,
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...(inputImageData && { inputImage: inputImageData }),
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...(params.aspectRatio && { aspectRatio: params.aspectRatio }),
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...(params.imageSize && { imageSize: params.imageSize }),
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...(params.useGoogleSearch !== undefined && { useGoogleSearch: params.useGoogleSearch }),
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})
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if (!generationResult.success) {

‎src/types/mcp.ts‎

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maintainCharacterConsistency?: boolean
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/** Use world knowledge integration for more accurate context (default: false) */
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useWorldKnowledge?: boolean
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/** Enable Google Search grounding for real-time web information (default: false) */
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useGoogleSearch?: boolean
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/** Aspect ratio for generated image (default: "1:1") */
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aspectRatio?: AspectRatio
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/** Image resolution for high-quality output (e.g., "2K", "4K"). Leave unspecified for standard quality */

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