FAL Image/Video MCP Server

Instructions

Implementation Reference

• src/index.ts:627-675 (handler)

  Core handler function for 'kling_master_text' tool execution. Parses arguments, calls FAL API endpoint, processes video output including downloads, data URLs, and auto-opening.

  private async handleTextToVideo(args: any, model: any) {
    const { prompt, duration = 5, aspect_ratio = '16:9' } = args;
  
    try {
      // Configure FAL client lazily with query config override
      configureFalClient(this.currentQueryConfig);
      const inputParams: any = { prompt };
      
      if (duration) inputParams.duration = duration;
      if (aspect_ratio) inputParams.aspect_ratio = aspect_ratio;
  
      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,
              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:373-379 (schema)

  Input schema definition for text-to-video tools including 'kling_master_text', specifying prompt (required), duration, and aspect_ratio parameters.

  } else if (category === 'textToVideo') {
    baseSchema.inputSchema.properties = {
      prompt: { type: 'string', description: 'Text prompt for video generation' },
      duration: { type: 'number', default: 5, minimum: 1, maximum: 30 },
      aspect_ratio: { type: 'string', enum: ['16:9', '9:16', '1:1', '4:3', '3:4'], default: '16:9' },
    };
    baseSchema.inputSchema.required = ['prompt'];

• src/index.ts:112-112 (registration)

  Tool registration in MODEL_REGISTRY.textToVideo array, defining ID, FAL endpoint, name, and description used for dynamic tool listing and dispatch.

  { id: 'kling_master_text', endpoint: 'fal-ai/kling-video/v2.1/master/text-to-video', name: 'Kling 2.1 Master', description: 'Premium text-to-video with motion fluidity' },

• src/index.ts:290-313 (helper)

  Helper function to download video, generate data URL, and auto-open, used by text-to-video handlers to process FAL API output.

  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;
  }

• src/index.ts:403-404 (registration)

  Dynamic tool registration in ListToolsRequestHandler, where 'kling_master_text' schema is added to the tools list based on MODEL_REGISTRY.

  for (const model of MODEL_REGISTRY.textToVideo) {
    tools.push(this.generateToolSchema(model, 'textToVideo'));