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Volcengine Image Generation MCP Server

by stvlynn

generate_image

Create images from text descriptions using Volcengine's AI technology, with customizable parameters for size, style, and output format.

Instructions

Generate images using Volcengine's text-to-image API

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesText prompt for image generation (max 1000 characters)
modelNoModel to use for image generationdoubao-seedream-3-0-t2i-250415
sizeNoImage size dimensions1024x1024
seedNoRandom seed for reproducible results (-1 for random)
guidance_scaleNoHow closely to follow the prompt (1-10)
watermarkNoWhether to add watermark to generated images
response_formatNoFormat for returned image dataurl

Implementation Reference

  • The primary handler function for the 'generate_image' tool. Validates input arguments using Zod schema, prepares the request, calls the Volcengine API, and returns formatted success/error response.
    async generateImage(args: VolcengineImageGenerationToolArgs) {
      try {
        const validatedArgs = generateImageSchema.parse(args);
        
        const request = {
          model: validatedArgs.model,
          prompt: validatedArgs.prompt,
          response_format: validatedArgs.response_format,
          size: validatedArgs.size,
          seed: validatedArgs.seed,
          guidance_scale: validatedArgs.guidance_scale,
          watermark: validatedArgs.watermark,
        };
    
        const response = await this.api.generateImage(request);
    
        return {
          success: true,
          data: {
            model: response.model,
            created: response.created,
            images: response.data,
            usage: response.usage,
          },
        };
      } catch (error) {
        return {
          success: false,
          error: error instanceof Error ? error.message : 'Unknown error occurred',
        };
      }
    }
  • Zod schema used for input validation of the 'generate_image' tool arguments.
    export const generateImageSchema = z.object({
      prompt: z.string().min(1, 'Prompt is required').max(1000, 'Prompt too long'),
      model: z.string().default(DEFAULT_MODEL),
      size: z.enum(SUPPORTED_SIZES).default(DEFAULT_SIZE),
      seed: z.number().int().min(-1).max(2147483647).optional(),
      guidance_scale: z.number().min(1).max(10).optional(),
      watermark: z.boolean().default(true),
      response_format: z.enum(['url', 'b64_json']).default(DEFAULT_RESPONSE_FORMAT),
    });
  • src/tools.ts:61-110 (registration)
    Tool definition method returning the MCP tool specification for 'generate_image', including name, description, and input schema. Used in listTools response.
    getToolDefinition() {
      return {
        name: 'generate_image',
        description: 'Generate images using Volcengine\'s text-to-image API',
        inputSchema: {
          type: 'object',
          properties: {
            prompt: {
              type: 'string',
              description: 'Text prompt for image generation (max 1000 characters)',
            },
            model: {
              type: 'string',
              description: 'Model to use for image generation',
              default: DEFAULT_MODEL,
            },
            size: {
              type: 'string',
              description: 'Image size dimensions',
              enum: SUPPORTED_SIZES,
              default: DEFAULT_SIZE,
            },
            seed: {
              type: 'number',
              description: 'Random seed for reproducible results (-1 for random)',
              minimum: -1,
              maximum: 2147483647,
            },
            guidance_scale: {
              type: 'number',
              description: 'How closely to follow the prompt (1-10)',
              minimum: 1,
              maximum: 10,
            },
            watermark: {
              type: 'boolean',
              description: 'Whether to add watermark to generated images',
              default: true,
            },
            response_format: {
              type: 'string',
              description: 'Format for returned image data',
              enum: ['url', 'b64_json'],
              default: DEFAULT_RESPONSE_FORMAT,
            },
          },
          required: ['prompt'],
        },
      };
    }
  • src/index.ts:47-82 (registration)
    Dispatch logic in MCP callTool request handler: checks for 'generate_image' tool name and invokes the handler, formats MCP response.
    if (name === 'generate_image') {
      try {
        const result = await this.imageTools.generateImage(args);
        
        if (result.success) {
          return {
            content: [
              {
                type: 'text',
                text: JSON.stringify(result.data, null, 2),
              },
            ],
          };
        } else {
          return {
            content: [
              {
                type: 'text',
                text: `Error: ${result.error}`,
              },
            ],
            isError: true,
          };
        }
      } catch (error) {
        return {
          content: [
            {
              type: 'text',
              text: `Error: ${error instanceof Error ? error.message : 'Unknown error'}`,
            },
          ],
          isError: true,
        };
      }
    }
  • Low-level helper that makes the HTTP POST request to Volcengine's image generation API endpoint.
    async generateImage(request: VolcengineImageGenerationRequest): Promise<VolcengineImageGenerationResponse> {
      try {
        const response = await this.client.post<VolcengineImageGenerationResponse>(
          '/images/generations',
          request
        );
        
        return response.data;
      } catch (error) {
        if (axios.isAxiosError(error)) {
          const status = error.response?.status;
          const message = error.response?.data?.error?.message || error.message;
          
          if (status === 401) {
            throw new Error('Invalid API key or unauthorized access');
          } else if (status === 429) {
            throw new Error('Rate limit exceeded. Please try again later.');
          } else if (status === 400) {
            throw new Error(`Invalid request: ${message}`);
          } else {
            throw new Error(`API request failed: ${message}`);
          }
        }
        
        throw new Error(`Unknown error: ${error instanceof Error ? error.message : 'Unknown error'}`);
      }
    }
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