FLUX_1_Kontext_Dev_infer – 2 MCP servers offer this tool
What it usually takes
guidance_scale– in 2 of 2input_image– in 2 of 2prompt– in 2 of 2randomize_seed– in 2 of 2seed– in 2 of 2steps– in 2 of 2
No server marks it as only reading: treat it as able to change data.
From each publisher's own tool list. We never call a tool.
Servers
| Server | Inputs | Read-only? |
|---|---|---|
FLUX.1 Kontext co.huggingface.black-forest-labs/flux.1-kontext-dev Perform image editing using the FLUX.1 Kontext pipeline. This function takes an input image and a text prompt to generate a modified version of the image based on the provided instructions. It uses the FLUX.1 Kontext model for contextual image editing tasks. Returns: A 3-tuple containing:, PIL.Image.Image: The generated/edited image, int: The seed value used for generation (useful when randomize_seed=True), gr.update: Gradio update object to make the reuse button visible, , >>> edited_image, used_seed, button_update = infer(, ... input_image=my_image,, ... prompt="Add sunglasses",, ... seed=123,, ... randomize_seed=False,, ... guidance_scale=2.5, ... ) | guidance_scale,input_image,prompt,randomize_seed,seed,steps | Not stated |
FLUX.1 Kontext co.huggingface.mcp-tools/flux.1-kontext-dev Perform image editing using the FLUX.1 Kontext pipeline. This function takes an input image and a text prompt to generate a modified version of the image based on the provided instructions. It uses the FLUX.1 Kontext model for contextual image editing tasks. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: The modified image and seed used for generation. | guidance_scale,input_image,prompt,randomize_seed,seed,steps | Not stated |