Runs generative image, video, and audio models through a queue-based inference API, Python and JS clients, a CLI, and a hosted MCP server, with webhooks and streaming output.
Skills
Asynchronous Inference
Submits model requests to the fal queue, then polls status or fetches results when long-running generations complete.
Webhook Callbacks
Notifies a developer endpoint when a queued request finishes so applications avoid polling for generation results.
Streaming Inference
Returns progressive model output as it is generated, with WebSocket and realtime endpoints for interactive use cases.
Hosted MCP Server
Lets AI assistants search models, check schemas and pricing, run inference, and upload files via mcp.fal.ai.
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