FAL Image/Video MCP Server

Instructions

Implementation Reference

• src/index.ts:566-625 (handler)

  Handler method for all image-to-video tools, including kling_master_image. Calls fal.subscribe on the model's endpoint with provided parameters and processes the video output.
  private async handleImageToVideo(args: any, model: any) { const { image_url, prompt, duration = '5', aspect_ratio = '16:9', negative_prompt, cfg_scale } = args; try { // Configure FAL client lazily with query config override configureFalClient(this.currentQueryConfig); const inputParams: any = { image_url, prompt }; // Add optional parameters if (duration) inputParams.duration = duration; if (aspect_ratio) inputParams.aspect_ratio = aspect_ratio; if (negative_prompt) inputParams.negative_prompt = negative_prompt; if (cfg_scale !== undefined) inputParams.cfg_scale = cfg_scale; const result = await fal.subscribe(model.endpoint, { input: inputParams }); const videoData = result.data as FalVideoResult; const videoProcessed = await downloadAndProcessVideo(videoData.video.url, model.id); return { content: [ { type: 'text', text: JSON.stringify({ model: model.name, id: model.id, endpoint: model.endpoint, input_image: image_url, prompt, video: { url: videoData.video.url, localPath: videoProcessed.localPath, ...(videoProcessed.dataUrl && { dataUrl: videoProcessed.dataUrl }), width: videoData.video.width, height: videoData.video.height, }, metadata: inputParams, download_path: DOWNLOAD_PATH, data_url_settings: { enabled: ENABLE_DATA_URLS, max_size_mb: Math.round(MAX_DATA_URL_SIZE / 1024 / 1024), }, autoopen_settings: { enabled: AUTOOPEN, note: AUTOOPEN ? "Files automatically opened with default application" : "Auto-open disabled" }, }, null, 2), }, ], }; } catch (error) { throw new Error(`${model.name} generation failed: ${error}`); } }
• src/index.ts:380-389 (schema)

  Dynamic input schema generation for image-to-video tools like kling_master_image in generateToolSchema.
  } else if (category === 'imageToVideo') { baseSchema.inputSchema.properties = { image_url: { type: 'string', description: 'URL of the input image' }, prompt: { type: 'string', description: 'Motion description prompt' }, duration: { type: 'string', enum: ['5', '10'], default: '5', description: 'Video duration in seconds' }, aspect_ratio: { type: 'string', enum: ['16:9', '9:16', '1:1'], default: '16:9' }, negative_prompt: { type: 'string', description: 'What to avoid in the video' }, cfg_scale: { type: 'number', default: 0.5, minimum: 0, maximum: 1, description: 'How closely to follow the prompt' } }; baseSchema.inputSchema.required = ['image_url', 'prompt'];
• src/index.ts:121-121 (registration)

  Tool registration entry in MODEL_REGISTRY.imageToVideo array, defining id, endpoint, name, and description.
  { id: 'kling_master_image', endpoint: 'fal-ai/kling-video/v2.1/master/image-to-video', name: 'Kling 2.1 Master I2V', description: 'Premium image-to-video conversion' },
• src/index.ts:140-143 (helper)

  Helper function to retrieve model configuration by ID, used in tool dispatch for kling_master_image.
  function getModelById(id: string) { const allModels = getAllModels(); return allModels.find(model => model.id === id); }
• src/index.ts:290-313 (helper)

  Helper function to download and process video output, used in the kling_master_image handler.
  async function downloadAndProcessVideo(videoUrl: string, modelName: string): Promise<any> { const filename = generateFilename('video', modelName); const localPath = await downloadFile(videoUrl, filename); const dataUrl = await urlToDataUrl(videoUrl); // Auto-open the downloaded video if available if (localPath) { await autoOpenFile(localPath); } const result: any = {}; // Only include localPath if download was successful if (localPath) { result.localPath = localPath; } // Only include dataUrl if it was successfully generated if (dataUrl) { result.dataUrl = dataUrl; } return result; }