# Slazzer — MCP server on mcp.ai
> Connect your Slazzer account and use 9 tools for images and design straight from your AI agent. Connect with your own API key. Slazzer provides AI-powered image background removal, enhancement, relighting, generation, and catalog image processing APIs.

By: mcp.ai · official
Page: https://mcp.ai/slazzer

## Connect (MCP protocol)
Remote MCP endpoint (HTTP, streamable): https://api.mcp.ai/p_slazzer?ms=1787293560000
Add it as a custom/remote MCP connector, then authenticate when prompted.

## REST API (no MCP client required)
Every tool is also a REST endpoint, authed with a workspace API key.
Discover: GET https://api.mcp.ai/api/slazzer/_endpoints   # public; lists every endpoint
Call:     POST https://api.mcp.ai/api/slazzer/<endpoint>
  Authorization: Bearer sk_live_…   # create one at https://mcp.ai/settings/api-keys
  Content-Type: application/json
  Body: { …args }   →   { "ok": true, "tool": "<id>", "result": { … } }

## Developer docs
How to use (MCP or REST), markdown: https://mcp.ai/slazzer/skill.md
Postman collection (v2.1): https://mcp.ai/slazzer/postman.json

## Tools
- slazzer_colorize_old_photo(render_factor?: integer, source_image_file: object) — Colorize and restore a black-and-white photo and return the result as a downloadable image. Processing costs one Slazzer credit.
- slazzer_create_catalog_image(seed?: integer, padding?: string, relighting?: boolean, canvas_size?: string, text_prompt?: string, catalog_type: string, scaling_mode: string, reference_type?: string, background_color?: string, source_image_file: object, background_image_file?: object) — Create a catalog-ready grocery, food, or furniture image using the matching Slazzer scene model.
- slazzer_edit_automobile_image(crop?: boolean, scale?: string, format?: string, channel?: string, preview?: boolean, position?: string, car_shadow?: boolean, crop_margin?: string, background_color?: string, source_image_url?: string, source_image_file?: object, number_plate_image?: object, source_image_base64?: string, background_image_url?: string, background_image_file?: object, background_image_base64?: string, number_plate_segmentation?: boolean) — Remove or replace an automobile background, optionally add a shadow or overlay or segment its number plate, and return the processed image, mask, or ZIP.
- slazzer_enhance_image_colors(source_image_file: object) — Improve an image's color, contrast, vibrancy, and visual quality and return the result as a downloadable image. Processing consumes 1 Slazzer credit.
- slazzer_generate_image_shadow(shadow_opacity?: number, background_color?: string, source_image_file: object, light_source_position: string) — Apply an AI-generated studio shadow to a PNG or JPEG product image and return the result as a downloadable file. Processing costs 0.20 Slazzer credit.
- slazzer_relight_image(brightness_factor?: number, source_image_file: object) — Relight a PNG or JPEG image with a selected brightness multiplier and return the result as a downloadable image. Processing costs one Slazzer credit.
- slazzer_remove_image_background(roi?: string, crop?: boolean, scale?: string, format?: string, channel?: string, preview?: boolean, position?: string, car_shadow?: boolean, crop_margin?: string, background_color?: string, source_image_url?: string, source_image_file?: object, source_image_base64?: string, background_image_url?: string, background_image_file?: object, background_image_base64?: string) — Remove an image background, optionally replace it, and return the processed image or alpha mask as a downloadable file.
- slazzer_replace_sky(background_color?: string, source_image_file: object, background_image_file?: object) — Replace an image's sky or background with another image or a solid color and return the processed file. Processing consumes 1 Slazzer credit.
- slazzer_upscale_image(scale?: string, source_image_file: object) — Upscale a PNG or JPEG image by 2x or 4x and return the result as a downloadable file.

## Example prompts
- "What can I do in Slazzer?"
- "Show me a summary of my Slazzer account"

## Links
Docs: https://mcp.ai/docs/mcps/slazzer
Website: https://mcp.ai/mcps/slazzer