Skip to main content
Glama
RamboRogers

FAL Image/Video MCP Server

by RamboRogers

pixverse_image

Transform static images into animated videos by providing a motion description prompt. Specify duration, aspect ratio, and control elements to avoid for customized video generation.

Instructions

Pixverse V4.5 I2V - Advanced image-to-video

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
image_urlYesURL of the input image
promptYesMotion description prompt
durationNoVideo duration in seconds5
aspect_ratioNo16:9
negative_promptNoWhat to avoid in the video
cfg_scaleNoHow closely to follow the prompt

Implementation Reference

  • src/index.ts:122-122 (registration)
    Registration of the 'pixverse_image' tool in the MODEL_REGISTRY.imageToVideo array, defining its ID, endpoint, name, and description.
    { id: 'pixverse_image', endpoint: 'fal-ai/pixverse/v4.5/image-to-video', name: 'Pixverse V4.5 I2V', description: 'Advanced image-to-video' },
  • Dynamic generation of input schema for all image-to-video tools, including pixverse_image, defining parameters like image_url, prompt, duration, etc.
    } 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'];
    }
  • Core handler function that executes the pixverse_image tool logic: destructures arguments, prepares input params, calls fal.subscribe on the model endpoint, processes video output with downloads/data URLs, and returns structured content.
    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}`);
      }
    }
  • Dispatch logic in CallToolRequestSchema handler that routes calls to pixverse_image (and other imageToVideo tools) to the handleImageToVideo function.
    } else if (MODEL_REGISTRY.imageToVideo.find(m => m.id === name)) {
      return await this.handleImageToVideo(args, model);
    }
  • Helper function to retrieve the model configuration (endpoint, name, etc.) by tool ID, used before dispatching to handlers.
    function getModelById(id: string) {
      const allModels = getAllModels();
      return allModels.find(model => model.id === id);
    }

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/RamboRogers/fal-image-video-mcp'

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