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Fal.ai MCP

作者 raveenb · raveenb/fal-mcp-server

Generate images, video, music, and audio through Fal.ai models.

Fal.ai hosts hundreds of generative models behind a single API — Flux, SDXL, Kling, Veo, MusicGen, ElevenLabs voices, etc. This MCP gives Claude one tool surface for image, video, audio, and TTS generation without juggling provider SDKs.

为什么要用

核心特性

实时演示

实际使用效果

fal-mcp.replay ▶ 就绪
0/0

安装

选择你的客户端

~/Library/Application Support/Claude/claude_desktop_config.json  · Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "fal-mcp": {
      "command": "uvx",
      "args": [
        "fal-mcp-server"
      ]
    }
  }
}

打开 Claude Desktop → Settings → Developer → Edit Config。保存后重启应用。

~/.cursor/mcp.json · .cursor/mcp.json
{
  "mcpServers": {
    "fal-mcp": {
      "command": "uvx",
      "args": [
        "fal-mcp-server"
      ]
    }
  }
}

Cursor 使用与 Claude Desktop 相同的 mcpServers 格式。项目级配置优先于全局。

VS Code → Cline → MCP Servers → Edit
{
  "mcpServers": {
    "fal-mcp": {
      "command": "uvx",
      "args": [
        "fal-mcp-server"
      ]
    }
  }
}

点击 Cline 侧栏中的 MCP Servers 图标,然后选 "Edit Configuration"。

~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "fal-mcp": {
      "command": "uvx",
      "args": [
        "fal-mcp-server"
      ]
    }
  }
}

格式与 Claude Desktop 相同。重启 Windsurf 生效。

~/.continue/config.json
{
  "mcpServers": [
    {
      "name": "fal-mcp",
      "command": "uvx",
      "args": [
        "fal-mcp-server"
      ]
    }
  ]
}

Continue 使用服务器对象数组,而非映射。

~/.config/zed/settings.json
{
  "context_servers": {
    "fal-mcp": {
      "command": {
        "path": "uvx",
        "args": [
          "fal-mcp-server"
        ]
      }
    }
  }
}

加入 context_servers。Zed 保存后热重载。

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

一行命令搞定。用 claude mcp list 验证,claude mcp remove 卸载。

使用场景

实战用法: Fal.ai MCP

Turn a script into a narrated short with one prompt

👤 Marketers, indie creators ⏱ ~15 min intermediate

何时使用: You have a 30-second script and want a complete narrated short.

前置条件
  • Server/skill installed and authenticated — See repo README
步骤
  1. Generate the scenes
    Split this 30s script into 4 scenes and generate a video clip for each with Kling.✓ 已复制
    → Four video URLs
  2. Narrate it
    TTS each scene's narration with ElevenLabs Rachel voice.✓ 已复制
    → Audio URLs aligned with scenes

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

注意事项
  • 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.
搭配使用: filesystem

组合

与其他 MCP 搭配,撬动十倍杠杆

fal-mcp + filesystem

Pair with filesystem for complementary capabilities

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

工具

此 MCP 暴露的能力

工具输入参数何时调用成本
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

成本与限制

运行它的成本

API 配额
See provider docs for rate limits
每次调用 Token 数
Varies by tool
费用
See repo README for pricing details
提示
Cache tool results and avoid repeated identical calls.

安全

权限、密钥、影响范围

凭据存储: Use environment variables; never commit secrets
数据出站: Tool calls go to the provider's API as documented

故障排查

常见错误与修复

FAL_KEY missing

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

验证: Run generate_image once with a tiny prompt
insufficient balance

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

验证: Check fal.ai/dashboard

替代方案

Fal.ai MCP 对比其他方案

替代方案何时用它替代权衡
Replicate MCPYou want different model selectionDifferent per-model pricing; similar feature set

更多

资源

📖 阅读 GitHub 上的官方 README

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