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.
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List available models with optional pagination. Parameters: page (optional integer), total (optional integer)
Search for models by keywords. Parameters: keywords (string)
Get OpenAPI schema for a specific model. Parameters: model_id (string)
Generate content using a model. Parameters: model (string), parameters (object), queue (optional boolean)
Get result from a queued request. Parameters: url (string)
Check status of a queued request. Parameters: url (string)
Cancel a queued request. Parameters: url (string)
Upload a file to fal.ai CDN. Parameters: path (string)
