Fal.ai MCP

왜 쓰나요

핵심 기능

Image: Flux, SDXL, Stable Diffusion 3, Ideogram, Recraft
Video: Kling, Hailuo, Veo, AnimateDiff
Audio/Music: MusicGen, Stable Audio, MMAudio
TTS: ElevenLabs, F5-TTS, Kokoro
Per-call pricing with the Fal balance shown in tool output

라이브 데모

실제 사용 모습

fal-mcp.replay ▶ 준비됨

0/0

설치

클라이언트 선택

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "fal-mcp": {
      "command": "uvx",
      "args": [
        "fal-mcp-server"
      ]
    }
  }
}

Claude Desktop → Settings → Developer → Edit Config 열기. 저장 후 앱 재시작.

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "fal-mcp": {
      "command": "uvx",
      "args": [
        "fal-mcp-server"
      ]
    }
  }
}

Cursor는 Claude Desktop과 동일한 mcpServers 스키마 사용. 프로젝트 설정이 전역보다 우선.

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "fal-mcp": {
      "command": "uvx",
      "args": [
        "fal-mcp-server"
      ]
    }
  }
}

Cline 사이드바의 MCP Servers 아이콘 클릭 후 "Edit Configuration" 선택.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "fal-mcp": {
      "command": "uvx",
      "args": [
        "fal-mcp-server"
      ]
    }
  }
}

Claude Desktop과 같은 형식. Windsurf 재시작 후 적용.

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "fal-mcp",
      "command": "uvx",
      "args": [
        "fal-mcp-server"
      ]
    }
  ]
}

Continue는 맵이 아닌 서버 오브젝트 배열 사용.

~/.config/zed/settings.json

{
  "context_servers": {
    "fal-mcp": {
      "command": {
        "path": "uvx",
        "args": [
          "fal-mcp-server"
        ]
      }
    }
  }
}

context_servers에 추가. 저장 시 Zed가 핫 리로드.

claude mcp add fal-mcp -- uvx fal-mcp-server

한 줄 명령. claude mcp list로 확인, claude mcp remove로 제거.

사용 사례

실전 활용법: Fal.ai MCP

Turn a script into a narrated short with one prompt

👤 Marketers, indie creators ⏱ ~15 min intermediate

언제 쓸까: You have a 30-second script and want a complete narrated short.

사전 조건

Server/skill installed and authenticated — See repo README

흐름

Generate the scenes

Split this 30s script into 4 scenes and generate a video clip for each with Kling.✓ 복사됨

→ Four video URLs
Narrate it

TTS each scene's narration with ElevenLabs Rachel voice.✓ 복사됨

→ Audio URLs aligned with scenes

결과: Four video clips + matching narration audio, ready to stitch.

함정

Costs add up fast — Costs add up fast — set a hard budget in the prompt: 'Use the cheapest model that meets quality bar' and check the balance reported in tool output.

함께 쓰기: filesystem

조합

다른 MCP와 조합해 10배 효율

fal-mcp + filesystem

Pair with filesystem for complementary capabilities

Use this server together with filesystem to complete a multi-step task.✓ 복사됨

도구

이 MCP가 노출하는 것

도구	입력	언제 호출	비용
generate_image	prompt, model, aspect_ratio	Need a still image	$0.003–0.05 per image
generate_video	prompt, model, duration_s	Need a short video clip	$0.20–2.00 per clip
tts	text, voice, model	Produce narration audio	$0.0001 per char

비용 및 제한

운영 비용

API 쿼터: See provider docs for rate limits
호출당 토큰: Varies by tool
금액: See repo README for pricing details
팁: Cache tool results and avoid repeated identical calls.

보안

권한, 시크릿, 파급범위

자격 증명 저장: Use environment variables; never commit secrets

데이터 외부 송신: Tool calls go to the provider's API as documented

문제 해결

자주 발생하는 오류와 해결

FAL_KEY missing

Get a key at fal.ai/dashboard/keys and set FAL_KEY env var.

확인: Run generate_image once with a tiny prompt

insufficient balance

Top up at fal.ai/dashboard/billing. The error includes the required amount.

확인: Check fal.ai/dashboard

대안

Fal.ai MCP 다른 것과 비교

대안	언제 쓰나	단점/장점
Replicate MCP	You want different model selection	Different per-model pricing; similar feature set