Replicate Flux MCP provides a bridge to the Replicate API for accessing the Flux image generation model. Built by Yaroslav Boiko, this TypeScript implementation enables AI assistants to generate images through the Model Context Protocol without requiring users to manage separate API integrations. It handles configuration through a simple API token setup and is packaged as both an npm module and a Docker container, making it ideal for applications that need to incorporate AI image generation capabilities within conversation interfaces.
Generates an image based on a text prompt using the Flux Schnell model. Parameters: prompt (string), seed (optional number), go_fast (optional boolean), megapixels (optional string), num_outputs (optional number), aspect_ratio (optional string), output_format (optional string), output_quality (optional number), num_inference_steps (optional number), disable_safety_checker (optional boolean)
Generates multiple images based on an array of prompts using the Flux Schnell model. Parameters: prompts (string[]), seed (optional number), go_fast (optional boolean), megapixels (optional string), aspect_ratio (optional string), output_format (optional string), output_quality (optional number), num_inference_steps (optional number), disable_safety_checker (optional boolean)
Generates multiple variants of the same image from a single prompt. Parameters: prompt (string), num_variants (number), prompt_variations (optional string[]), variation_mode (optional 'append' | 'replace'), seed (optional number), go_fast (optional boolean), megapixels (optional string), aspect_ratio (optional string), output_format (optional string), output_quality (optional number), num_inference_steps (optional number), disable_safety_checker (optional boolean)
Generates an SVG vector image based on a text prompt using the Recraft V3 SVG model. Parameters: prompt (string), size (optional string), style (optional string)
Retrieves a list of your recent predictions from Replicate. Parameters: limit (optional number)
Gets detailed information about a specific prediction. Parameters: predictionId (string)
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