retro-diffusion-pixel-art

Generate authentic, grid-aligned pixel art — sprites, characters, animations, and tilesets — from any MCP client.

От сообществаРаботаетБез входаГлобальныйБесплатноТолько чтение

Что умеет

Authenticate: Authenticate this MCP session with a RetroDiffusion public API key.
Logout: Clear the authenticated RetroDiffusion API key for this MCP session.
Create User Style: Create a user style from the public RD Pro template using /v1/styles. Use `style_reference_images` and `style_reference_caption` for style-level references. These are baked into the

Какие данные видит

Нужен ли аккаунт

Не нужен: сервер работает без входа

Generate authentic, grid-aligned pixel art — sprites, characters, animations, and tilesets — from any MCP client. 90+ styles, free cost estimation, pay-per-generation with no subscription and credits that never expire.

Список инструментов сервера (17)

Технические названия из tools/list. Нужны только разработчикам.

authenticate	Authenticate this MCP session with a RetroDiffusion public API key.
logout	Clear the authenticated RetroDiffusion API key for this MCP session.
create_user_style	Create a user style from the public RD Pro template using /v1/styles. Use `style_reference_images` and `style_reference_caption` for style-level references. These are baked into the custom style and are not the same as per-inference `reference_images`.
update_user_style	Update a public RD Pro user style using /v1/styles/{style_id}. Use `style_reference_images` and `style_reference_caption` for style-level references. These are baked into the custom style and are not the same as per-inference `reference_images`.
delete_user_style	Delete a user style using /v1/styles/{style_id}. style_id can be either internal id or prompt_style/public_id.
list_available_styles	List publicly available styles from /v1/styles/selector. Use this to discover valid prompt_style values plus style metadata such as require_input_image and supports_reference_images.
list_available_models	Return unique public model identifiers available in /v1/styles/selector.
get_style_usage	Explain how to use a public prompt_style from the RetroDiffusion API. Use this before create_inference if you are unsure whether a style expects `input_image`, supports per-inference `reference_images`, or whether you meant style-level `style_reference_images`.
get_balance	Get credits/balance using the public /v1/inferences/credits endpoint.
estimate_inference_cost	Estimate generation cost using the public /v1/inferences endpoint with check_cost=true. Use `input_image` for the main source image, `reference_images` for extra per-inference guidance, and `style_reference_images` only on create_user_style/update_user_style.
create_inference	Generate images using the public /v1/inferences endpoint. For the highest quality prefer RD Pro styles (rd_pro__*); they support reference_images for character/style consistency. For animation styles prefer start_inference_job + get_inference_job instead — animations are long-running. Use `input_image` for the main source image, `reference_images` for extra per-inference guidance, and `style_reference_images` only on create_user_style/update_user_style. The response excludes raw base64 image payloads to keep MCP outputs compact.
list_edit_tools	List the enabled canvas edit tools from /v1/edit/tools with their fields, costs, and limits. Edit tools are the recommended way to post-process generated pixel art: background removal, palette conversion, color reduction, pixel correction, rotation, inpainting, outpainting, seam tiling, and prompt-driven edits.
run_edit_tool	Run a canvas edit tool on an image via /v1/edit/tools/{tool_id}. Free tools: color_reducer, palette_converter, pixel_correction, k_centroid_downscale, rotate. $0.01 tools: background_remover, color_style_transfer. Premium ($0.18): image_edit, inpainting, outpainting, seam_tiling. Use estimate_edit_tool_cost first for anything that charges — estimation is free. The edited image is returned in base64_images.
estimate_edit_tool_cost	Validate an edit-tool request and estimate its cost and duration without running it. Always free.
start_inference_job	Start a generation as an async job (POST /v1/inferences with async=true) and return a task_id. Recommended for advanced animations (rd_advanced_animation__*), other animation styles, and batches — they run for tens of seconds and can outlive a synchronous MCP call. Poll the returned task_id with get_inference_job roughly every 2-5 seconds.
get_inference_job	Check the status of an async generation started with start_inference_job. Statuses: pending, running, succeeded, failed. On success the result carries hosted output_urls (raw base64 payloads are excluded to keep MCP outputs compact).
get_service_status	Check RetroDiffusion subsystem health (/v1/status, no auth). Useful before bulk generation runs.