DALL-E MCP Server

Instructions

Implementation Reference

• src/tools/index.ts:64-102 (handler)

  The handler function that executes the 'generate_image' tool logic, calling DalleService and formatting the response with saved image paths.
  handler: async (args: GenerateImageArgs): Promise<ToolResponse> => { const result = await dalleService.generateImage(args.prompt, { model: args.model, size: args.size, quality: args.quality, style: args.style, n: args.n, saveDir: args.saveDir, fileName: args.fileName }); if (!result.success) { return { content: [{ type: "text", text: `Error generating image: ${result.error}` }] }; } const imagePaths = result.imagePaths || []; const imageCount = imagePaths.length; const model = result.model || 'dall-e-3'; let responseText = `Successfully generated ${imageCount} image${imageCount !== 1 ? 's' : ''} using ${model}.\n\n`; responseText += `Prompt: "${result.prompt}"\n\n`; responseText += `Image${imageCount !== 1 ? 's' : ''} saved to:\n`; imagePaths.forEach(imagePath => { responseText += `- ${imagePath}\n`; }); return { content: [{ type: "text", text: responseText }] }; }
• src/services/dalle-service.ts:29-115 (helper)

  Core helper method in DalleService that performs the OpenAI DALL-E API call for image generation, handles base64 decoding, saves images to disk, and returns result.
  async generateImage( prompt: string, options: { model?: string; size?: string; quality?: string; style?: string; n?: number; saveDir?: string; fileName?: string; } = {} ): Promise<ImageGenerationResult> { try { // Set default options const model = options.model || 'dall-e-3'; const size = options.size || '1024x1024'; const quality = options.quality || 'standard'; const style = options.style || 'vivid'; const n = options.n || 1; const saveDir = options.saveDir || this.config.defaultSaveDir || process.cwd(); const fileName = options.fileName || `dalle-${Date.now()}`; // Ensure save directory exists await fs.ensureDir(saveDir); // Make request to OpenAI API const response = await axios.post( `${this.baseUrl}/images/generations`, { model, prompt, n, size, quality, style, response_format: 'b64_json' }, { headers: { 'Content-Type': 'application/json', 'Authorization': `Bearer ${this.config.apiKey}` } } ); // Process response const data = response.data; const imagePaths: string[] = []; // Save each image for (let i = 0; i < data.data.length; i++) { const item = data.data[i]; const imageBuffer = Buffer.from(item.b64_json, 'base64'); let imagePath = path.join(saveDir, `${fileName}${n > 1 ? `-${i + 1}` : ''}.png`); // Ensure the path is absolute if (!path.isAbsolute(imagePath)) { imagePath = path.resolve(process.cwd(), imagePath); } await fs.writeFile(imagePath, imageBuffer); imagePaths.push(imagePath); } return { success: true, imagePaths, model, prompt }; } catch (error) { console.log("DALL-E API Error:", error); let errorMessage = 'Failed to generate image'; if (axios.isAxiosError(error) && error.response?.data?.error) { errorMessage = `DALL-E API Error: ${error.response.data.error.message}`; } else if (error instanceof Error) { errorMessage = error.message; } return { success: false, error: errorMessage }; } }
• src/types/index.ts:11-20 (schema)

  Type definition for input arguments of the generate_image tool.
  export interface GenerateImageArgs { prompt: string; model?: string; size?: string; quality?: string; style?: string; n?: number; saveDir?: string; fileName?: string; }
• src/tools/index.ts:17-103 (registration)

  Tool registration object defining name, description, inputSchema, and handler for 'generate_image'.
  { name: "generate_image", description: "Generate an image using DALL-E based on a text prompt", inputSchema: { type: "object", properties: { prompt: { type: "string", description: "Text description of the desired image" }, model: { type: "string", description: "DALL-E model to use (dall-e-2 or dall-e-3)", enum: ["dall-e-2", "dall-e-3"] }, size: { type: "string", description: "Size of the generated image", enum: ["256x256", "512x512", "1024x1024", "1792x1024", "1024x1792"] }, quality: { type: "string", description: "Quality of the generated image (dall-e-3 only)", enum: ["standard", "hd"] }, style: { type: "string", description: "Style of the generated image (dall-e-3 only)", enum: ["vivid", "natural"] }, n: { type: "number", description: "Number of images to generate (1-10)", minimum: 1, maximum: 10 }, saveDir: { type: "string", description: "Directory to save the generated images" }, fileName: { type: "string", description: "Base filename for the generated images (without extension)" } }, required: ["prompt"] }, handler: async (args: GenerateImageArgs): Promise<ToolResponse> => { const result = await dalleService.generateImage(args.prompt, { model: args.model, size: args.size, quality: args.quality, style: args.style, n: args.n, saveDir: args.saveDir, fileName: args.fileName }); if (!result.success) { return { content: [{ type: "text", text: `Error generating image: ${result.error}` }] }; } const imagePaths = result.imagePaths || []; const imageCount = imagePaths.length; const model = result.model || 'dall-e-3'; let responseText = `Successfully generated ${imageCount} image${imageCount !== 1 ? 's' : ''} using ${model}.\n\n`; responseText += `Prompt: "${result.prompt}"\n\n`; responseText += `Image${imageCount !== 1 ? 's' : ''} saved to:\n`; imagePaths.forEach(imagePath => { responseText += `- ${imagePath}\n`; }); return { content: [{ type: "text", text: responseText }] }; } },
• src/index.ts:24-32 (registration)

  MCP server capabilities registration enabling the 'generate_image' tool.
  capabilities: { tools: { generate_image: true, edit_image: true, create_variation: true, validate_key: true }, }, }