Skip to main content
Glama

generate_image

Create custom images from text descriptions using OpenAI's DALL-E 3 model with configurable size, quality, and style options for visual content generation.

Instructions

Generate an image using OpenAI's DALL-E 3 model based on a text prompt

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesThe text prompt describing the image to generate
sizeNoImage size (1024x1024, 1024x1792, or 1792x1024)1792x1024
qualityNoImage quality (standard or hd)hd
styleNoImage style (vivid or natural)vivid
filenameNoOptional custom filename (without extension)

Implementation Reference

  • The primary handler function that executes the generate_image tool. It calls the OpenAI DALL-E API, downloads the generated image, saves it locally, and returns a JSON result.
    private async handleImageGeneration(args: any) { try { const { prompt, size = DEFAULT_SIZE, quality = DEFAULT_QUALITY, style = "vivid", filename, } = args; if (!process.env.OPENAI_API_KEY) { throw new Error("OPENAI_API_KEY environment variable is required"); } console.log(`[DALL-E] Generating image: "${prompt.slice(0, 50)}..."`); const response = await openai.images.generate({ model: "dall-e-3", prompt: prompt, n: 1, size: size as "1024x1024" | "1024x1792" | "1792x1024", quality: quality as "standard" | "hd", style: style as "vivid" | "natural", response_format: "url", }); if (!response.data || !response.data[0]?.url) { throw new Error("No image URL received from DALL-E API"); } const imageUrl = response.data[0].url; const imageResponse = await fetch(imageUrl); if (!imageResponse.ok) { throw new Error(`Failed to download image: ${imageResponse.statusText}`); } const imageBuffer = Buffer.from(await imageResponse.arrayBuffer()); await fs.ensureDir(OUTPUT_DIR); const timestamp = new Date().toISOString().replace(/[:.]/g, "-"); const baseFilename = filename || `dalle_${timestamp}`; const imagePath = path.join(OUTPUT_DIR, `${baseFilename}.png`); await fs.writeFile(imagePath, imageBuffer); const result = { success: true, message: "Image generated successfully", details: { prompt: prompt, size: size, quality: quality, style: style, file_path: path.resolve(imagePath), file_size: imageBuffer.length, timestamp: new Date().toISOString(), }, }; console.log(`[DALL-E] Image saved: ${imagePath}`); return { content: [{ type: "text", text: JSON.stringify(result, null, 2) }] }; } catch (error) { const errorMessage = error instanceof Error ? error.message : "Unknown error occurred"; console.error(`[DALL-E Error] ${errorMessage}`); const errorResult = { success: false, error: errorMessage, timestamp: new Date().toISOString(), }; return { content: [{ type: "text", text: JSON.stringify(errorResult, null, 2) }] }; } }
  • Defines the input schema and parameters for the generate_image tool, including required prompt and optional size, quality, style, filename.
    inputSchema: { type: "object", properties: { prompt: { type: "string", description: "The text prompt describing the image to generate", }, size: { type: "string", description: "Image size (1024x1024, 1024x1792, or 1792x1024)", enum: ["1024x1024", "1024x1792", "1792x1024"], default: DEFAULT_SIZE, }, quality: { type: "string", description: "Image quality (standard or hd)", enum: ["standard", "hd"], default: DEFAULT_QUALITY, }, style: { type: "string", description: "Image style (vivid or natural)", enum: ["vivid", "natural"], default: "vivid", }, filename: { type: "string", description: "Optional custom filename (without extension)", }, }, required: ["prompt"], },
  • src/index.ts:53-95 (registration)
    Registers the generate_image tool in the ListTools response, providing its name, description, and schema.
    this.server.setRequestHandler(ListToolsRequestSchema, async () => { return { tools: [ { name: "generate_image", description: "Generate an image using OpenAI's DALL-E 3 model based on a text prompt", inputSchema: { type: "object", properties: { prompt: { type: "string", description: "The text prompt describing the image to generate", }, size: { type: "string", description: "Image size (1024x1024, 1024x1792, or 1792x1024)", enum: ["1024x1024", "1024x1792", "1792x1024"], default: DEFAULT_SIZE, }, quality: { type: "string", description: "Image quality (standard or hd)", enum: ["standard", "hd"], default: DEFAULT_QUALITY, }, style: { type: "string", description: "Image style (vivid or natural)", enum: ["vivid", "natural"], default: "vivid", }, filename: { type: "string", description: "Optional custom filename (without extension)", }, }, required: ["prompt"], }, }, ], }; });
  • src/index.ts:97-103 (registration)
    Sets up the CallTool request handler that dispatches to generate_image handler based on tool name.
    this.server.setRequestHandler(CallToolRequestSchema, async (request) => { if (request.params.name === "generate_image") { return await this.handleImageGeneration(request.params.arguments); } throw new Error(`Unknown tool: ${request.params.name}`); });
Install Server

Other Tools

Latest Blog Posts

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/szabadkai/imagegen-mcp'

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