fal.ai
Summary
The fal.ai MCP Server provides a bridge between AI assistants and fal.ai's machine learning models and services through the Model Context Protocol. Built with Python using the FastMCP framework, it exposes tools for listing, searching, and using any fal.ai model, with support for both direct and queued execution modes. The implementation handles authentication, file uploads to fal.ai CDN, and queue management (status checking, result retrieval, and request cancellation), making it particularly valuable for AI assistants that need to generate images, process media, or leverage other specialized AI capabilities without leaving the conversation context.
Available Actions(8)
models
List available models with optional pagination. Parameters: page (optional integer), total (optional integer)
search
Search for models by keywords. Parameters: keywords (string)
schema
Get OpenAPI schema for a specific model. Parameters: model_id (string)
generate
Generate content using a model. Parameters: model (string), parameters (object), queue (optional boolean)
result
Get result from a queued request. Parameters: url (string)
status
Check status of a queued request. Parameters: url (string)
cancel
Cancel a queued request. Parameters: url (string)
upload
Upload a file to fal.ai CDN. Parameters: path (string)
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