mcp-fal
An MCP server that exposes Fal.ai generative media models as tools for image and video generation, and running any Fal.ai model, callable by Claude and other MCP-compatible clients.
README
mcp-fal
An MCP (Model Context Protocol) server that exposes Fal.ai generative media models as tools callable by Claude and other MCP-compatible clients.
Features
| Tool | Description |
|---|---|
generate_image |
Generate images from a text prompt using FLUX, Stable Diffusion, and other models |
generate_video |
Generate videos via text-to-video or image-to-video using MiniMax, HunyuanVideo, and more |
run_model |
Run any Fal.ai model by ID with arbitrary input — access to 1000+ models |
Installation
# Clone the repository
git clone https://github.com/mohsenmousavieyeline/mcp-fal.git
cd mcp-fal
# Install dependencies
npm install
# Build (compiles TypeScript → dist/)
npm run build
API Key
Get your Fal.ai API key at https://fal.ai/dashboard/keys.
The server resolves the API key in this priority order:
- CLI argument —
--api-key <your-key> - Environment variable —
FAL_KEY=<your-key>
Configuration
Claude Desktop
Add the server to your Claude Desktop config file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Option A — API key as CLI argument (recommended):
{
"mcpServers": {
"fal-ai": {
"command": "node",
"args": [
"/absolute/path/to/mcp-fal/dist/index.js",
"--api-key",
"fal_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
]
}
}
}
Option B — API key as environment variable:
{
"mcpServers": {
"fal-ai": {
"command": "node",
"args": ["/absolute/path/to/mcp-fal/dist/index.js"],
"env": {
"FAL_KEY": "fal_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
}
}
}
}
Claude Code (CLI)
claude mcp add fal-ai -- node /absolute/path/to/mcp-fal/dist/index.js --api-key fal_xxxx
Or with an environment variable:
FAL_KEY=fal_xxxx claude mcp add fal-ai -- node /absolute/path/to/mcp-fal/dist/index.js
npx (no installation)
If published to npm:
{
"mcpServers": {
"fal-ai": {
"command": "npx",
"args": ["mcp-fal", "--api-key", "fal_xxxx"]
}
}
}
Tool Reference
generate_image
Generate one or more images from a text prompt.
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
prompt |
string | ✅ | — | Text description of the image |
model_id |
string | — | fal-ai/flux/dev |
Fal.ai model ID |
image_size |
string | — | landscape_4_3 |
square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9 |
num_images |
integer | — | 1 |
Number of images (1–4) |
negative_prompt |
string | — | — | What to exclude from the image |
seed |
integer | — | — | Seed for reproducible results |
Example prompt to Claude:
"Generate an image of a misty mountain landscape at dawn using FLUX schnell"
generate_video
Generate a video from text or an input image.
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
prompt |
string | ✅ | — | Text description of the video |
model_id |
string | — | Auto-selected | Fal.ai model ID |
image_url |
string | — | — | Input image URL (triggers image-to-video) |
duration |
number | — | — | Desired duration in seconds |
Default models:
- With
image_url:fal-ai/minimax-video/image-to-video - Without
image_url:fal-ai/minimax-video/text-to-video
⚠️ Video generation typically takes 1–5 minutes.
Example prompt to Claude:
"Generate a 5-second video of ocean waves crashing on a rocky shore"
run_model
Run any Fal.ai model with custom parameters.
| Parameter | Type | Required | Description |
|---|---|---|---|
model_id |
string | ✅ | Fal.ai model ID (e.g. fal-ai/imageutils/rembg) |
input |
object | ✅ | Model-specific input parameters |
Browse available models at https://fal.ai/models.
Example prompt to Claude:
"Use the run_model tool with fal-ai/imageutils/rembg to remove the background from this image: https://example.com/photo.jpg"
Development
# Run in development mode (no build step required)
FAL_KEY=your_key npm run dev
# Build for production
npm run build
# Run the built server
FAL_KEY=your_key npm start
Popular Fal.ai Models
| Category | Model ID | Description |
|---|---|---|
| Image | fal-ai/flux/dev |
FLUX.1 Dev — high quality |
| Image | fal-ai/flux/schnell |
FLUX.1 Schnell — fast |
| Image | fal-ai/stable-diffusion-v3-medium |
Stable Diffusion 3 |
| Video | fal-ai/minimax-video/text-to-video |
MiniMax text-to-video |
| Video | fal-ai/minimax-video/image-to-video |
MiniMax image-to-video |
| Video | fal-ai/hunyuan-video |
HunyuanVideo |
| Video | fal-ai/mochi-v1 |
Mochi 1 |
| Utility | fal-ai/imageutils/rembg |
Background removal |
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。
mcp-server-qdrant
这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。