fal.ai Media Generation Generate images, videos, and audio using fal.ai models via MCP. When to Activate User wants to generate images from text prompts Creating videos from text or images Generating speech, music, or sound effects Any media generation task User says "generate image", "create video", "text to speech", "make a thumbnail", or similar MCP Requirement fal.ai MCP server must be configured. Add to ~/.claude.json : "fal-ai" : { "command" : "npx" , "args" : [ "-y" , "fal-ai-mcp-server" ] , "env" : { "FAL_KEY" : "YOUR_FAL_KEY_HERE" } } Get an API key at fal.ai . MCP Tools The fal.ai MCP provides these tools: search — Find available models by keyword find — Get model details and parameters generate — Run a model with parameters result — Check async generation status status — Check job status cancel — Cancel a running job estimate_cost — Estimate generation cost models — List popular models upload — Upload files for use as inputs Image Generation Nano Banana 2 (Fast) Best for: quick iterations, drafts, text-to-image, image editing. generate( app_id: "fal-ai/nano-banana-2", input_data: { "prompt": "a futuristic cityscape at sunset, cyberpunk style", "image_size": "landscape_16_9", "num_images": 1, "seed": 42 } ) Nano Banana Pro (High Fidelity) Best for: production images, realism, typography, detailed prompts. generate( app_id: "fal-ai/nano-banana-pro", input_data: { "prompt": "professional product photo of wireless headphones on marble surface, studio lighting", "image_size": "square", "num_images": 1, "guidance_scale": 7.5 } ) Common Image Parameters Param Type Options Notes prompt string required Describe what you want image_size string square , portrait_4_3 , landscape_16_9 , portrait_16_9 , landscape_4_3 Aspect ratio num_images number 1-4 How many to generate seed number any integer Reproducibility guidance_scale number 1-20 How closely to follow the prompt (higher = more literal) Image Editing Use Nano Banana 2 with an input image for inpainting, outpainting, or style transfer:

First upload the source image

upload(file_path: "/path/to/image.png")

Then generate with image input

generate( app_id: "fal-ai/nano-banana-2", input_data: { "prompt": "same scene but in watercolor style", "image_url": "", "image_size": "landscape_16_9" } ) Video Generation Seedance 1.0 Pro (ByteDance) Best for: text-to-video, image-to-video with high motion quality. generate( app_id: "fal-ai/seedance-1-0-pro", input_data: { "prompt": "a drone flyover of a mountain lake at golden hour, cinematic", "duration": "5s", "aspect_ratio": "16:9", "seed": 42 } ) Kling Video v3 Pro Best for: text/image-to-video with native audio generation. generate( app_id: "fal-ai/kling-video/v3/pro", input_data: { "prompt": "ocean waves crashing on a rocky coast, dramatic clouds", "duration": "5s", "aspect_ratio": "16:9" } ) Veo 3 (Google DeepMind) Best for: video with generated sound, high visual quality. generate( app_id: "fal-ai/veo-3", input_data: { "prompt": "a bustling Tokyo street market at night, neon signs, crowd noise", "aspect_ratio": "16:9" } ) Image-to-Video Start from an existing image: generate( app_id: "fal-ai/seedance-1-0-pro", input_data: { "prompt": "camera slowly zooms out, gentle wind moves the trees", "image_url": "", "duration": "5s" } ) Video Parameters Param Type Options Notes prompt string required Describe the video duration string "5s" , "10s" Video length aspect_ratio string "16:9" , "9:16" , "1:1" Frame ratio seed number any integer Reproducibility image_url string URL Source image for image-to-video Audio Generation CSM-1B (Conversational Speech) Text-to-speech with natural, conversational quality. generate( app_id: "fal-ai/csm-1b", input_data: { "text": "Hello, welcome to the demo. Let me show you how this works.", "speaker_id": 0 } ) ThinkSound (Video-to-Audio) Generate matching audio from video content. generate( app_id: "fal-ai/thinksound", input_data: { "video_url": "", "prompt": "ambient forest sounds with birds chirping" } ) ElevenLabs (via API, no MCP) For professional voice synthesis, use ElevenLabs directly: import os import requests resp = requests . post ( "https://api.elevenlabs.io/v1/text-to-speech/" , headers = { "xi-api-key" : os . environ [ "ELEVENLABS_API_KEY" ] , "Content-Type" : "application/json" } , json = { "text" : "Your text here" , "model_id" : "eleven_turbo_v2_5" , "voice_settings" : { "stability" : 0.5 , "similarity_boost" : 0.75 } } ) with open ( "output.mp3" , "wb" ) as f : f . write ( resp . content ) VideoDB Generative Audio If VideoDB is configured, use its generative audio:

Voice generation

audio

coll . generate_voice ( text = "Your narration here" , voice = "alloy" )

Music generation

music

coll . generate_music ( prompt = "upbeat electronic background music" , duration = 30 )

Sound effects

sfx

coll . generate_sound_effect ( prompt = "thunder crack followed by rain" ) Cost Estimation Before generating, check estimated cost: estimate_cost( estimate_type: "unit_price", endpoints: { "fal-ai/nano-banana-pro": { "unit_quantity": 1 } } ) Model Discovery Find models for specific tasks: search(query: "text to video") find(endpoint_ids: ["fal-ai/seedance-1-0-pro"]) models() Tips Use seed for reproducible results when iterating on prompts Start with lower-cost models (Nano Banana 2) for prompt iteration, then switch to Pro for finals For video, keep prompts descriptive but concise — focus on motion and scene Image-to-video produces more controlled results than pure text-to-video Check estimate_cost before running expensive video generations