Image Converter MCP Server

Instructions

Implementation Reference

• src/converter.ts:222-290 (handler)

  Core handler function in ImageConverter class that performs batch image conversion, supporting both file paths and buffer data inputs.
  async batchConvertImages(options: BatchConvertOptions): Promise<BatchConvertResult[]> { const { input_paths, input_files, output_format, quality, width, height, maintain_aspect_ratio, output_directory } = options; const results: BatchConvertResult[] = []; // 处理文件路径方式 if (input_paths && input_paths.length > 0) { for (const inputPath of input_paths) { try { const outputPath = output_directory ? path.join(output_directory, this.generateOutputFilename(inputPath, output_format)) : this.generateOutputPath(inputPath, output_format); await this.convertImage({ input_path: inputPath, output_format, quality, width, height, maintain_aspect_ratio, output_path: outputPath }); results.push({ success: true, output_path: outputPath }); } catch (error) { results.push({ success: false, error: error instanceof Error ? error.message : String(error) }); } } } // 处理上传文件方式 if (input_files && input_files.length > 0) { for (const inputFile of input_files) { try { const outputPath = output_directory ? path.join(output_directory, this.generateOutputFilename(inputFile.filename, output_format)) : this.generateOutputPath(inputFile.filename, output_format); await this.convertImage({ input_data: inputFile.data, input_filename: inputFile.filename, output_format, quality, width, height, maintain_aspect_ratio, output_path: outputPath }); results.push({ success: true, output_path: outputPath }); } catch (error) { results.push({ success: false, error: error instanceof Error ? error.message : String(error) }); } } } return results; }
• src/index.ts:25-37 (schema)

  Zod validation schema for batch_convert_images tool input parameters.
  const BatchConvertArgsSchema = z.object({ input_paths: z.array(z.string()).optional().describe('源图片文件路径数组'), input_files: z.array(z.object({ data: z.string().describe('文件数据（Buffer或base64字符串）'), filename: z.string().describe('文件名') })).optional().describe('上传的文件数据数组'), output_format: z.string().describe('目标格式'), quality: z.number().min(1).max(100).optional().describe('压缩质量'), width: z.number().positive().optional().describe('目标宽度'), height: z.number().positive().optional().describe('目标高度'), maintain_aspect_ratio: z.boolean().default(true).describe('保持宽高比'), output_directory: z.string().optional().describe('输出目录（可选）') });
• src/index.ts:112-172 (registration)

  Tool definition registration in the ListTools response, including name, description, and JSON input schema.
  name: 'batch_convert_images', description: '批量转换多个图片文件', inputSchema: { type: 'object', properties: { input_paths: { type: 'array', items: { type: 'string' }, description: '源图片文件路径数组（与input_files二选一）' }, input_files: { type: 'array', items: { type: 'object', properties: { data: { type: 'string', description: '文件数据（Buffer或base64字符串）' }, filename: { type: 'string', description: '文件名' } }, required: ['data', 'filename'] }, description: '上传的文件数据数组（与input_paths二选一）' }, output_format: { type: 'string', description: '目标格式' }, quality: { type: 'number', minimum: 1, maximum: 100, description: '压缩质量' }, width: { type: 'number', minimum: 1, description: '目标宽度' }, height: { type: 'number', minimum: 1, description: '目标高度' }, maintain_aspect_ratio: { type: 'boolean', default: true, description: '保持宽高比' }, output_directory: { type: 'string', description: '输出目录' } }, required: ['output_format'] } },
• src/index.ts:221-262 (registration)

  Dispatch handler in CallToolRequest that validates args with schema and invokes the converter's batchConvertImages method, formats results.
  case 'batch_convert_images': { const validatedArgs = BatchConvertArgsSchema.parse(args); const results = await this.converter.batchConvertImages(validatedArgs); const successCount = results.filter(r => r.success).length; const failureCount = results.length - successCount; let resultText = `批量转换完成！\n成功：${successCount} 个文件\n失败：${failureCount} 个文件\n\n`; // 确定输入源的总数 const totalInputs = (validatedArgs.input_paths?.length || 0) + (validatedArgs.input_files?.length || 0); results.forEach((result, index) => { let inputName = `文件${index + 1}`; // 优先从input_paths获取名称 if (validatedArgs.input_paths && index < validatedArgs.input_paths.length) { inputName = validatedArgs.input_paths[index]; } // 然后从input_files获取名称 else if (validatedArgs.input_files) { const fileIndex = index - (validatedArgs.input_paths?.length || 0); if (fileIndex >= 0 && fileIndex < validatedArgs.input_files.length) { inputName = validatedArgs.input_files[fileIndex].filename; } } if (result.success) { resultText += `✓ ${inputName} -> ${result.output_path}\n`; } else { resultText += `✗ ${inputName}: ${result.error}\n`; } }); return { content: [ { type: 'text', text: resultText } ] }; }
• src/converter.ts:18-30 (schema)

  TypeScript interface defining the input options for batchConvertImages.
  export interface BatchConvertOptions { input_paths?: string[]; input_files?: Array<{ data: Buffer | string; filename: string; }>; // 支持上传的文件数据 output_format: string; quality?: number; width?: number; height?: number; maintain_aspect_ratio?: boolean; output_directory?: string; }