A Model Context Protocol (MCP) server for interacting with fal.ai models and services.
fal.ai MCP Server is an MCP project maintained in the am0y/mcp-fal repository. The maintainer describes its purpose as “A Model Context Protocol (MCP) server for interacting with fal.ai models and services”. Read the project documentation for the complete scope.
The project provides a local client configuration using d:/Projects/python/mcp-fal/venv/Scripts/python.exe. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
The example declares FAL_KEY. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| models | page=None, total=None) - List available models with optional pagination |
| search | keywords) - Search for models by keywords |
| schema | model_id) - Get OpenAPI schema for a specific model |
| generate | model, parameters, queue=False) - Generate content using a model |
| result | url) - Get result from a queued request |
| status | url) - Check status of a queued request |
| cancel | url) - Cancel a queued request |
| upload | path - Upload a file to fal.ai CDN |
{
"mcpServers": {
"fal": {
"command": "d:/Projects/python/mcp-fal/venv/Scripts/python.exe",
"args": [
"d:/Projects/python/mcp-fal/main.py"
],
"env": {
"FAL_KEY": "YOUR_FAL_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| FAL_KEY | Declared in the maintainer’s client configuration. | Check documentation |
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