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MCP server for uploading, transforming, and serving images on a global CDN — directly from AI assistants.
Connect Claude, GPT, Cursor, Windsurf, or any MCP-compatible client to the Spronta Image CDN. Upload images from URLs or base64, apply real-time transforms (resize, crop, format conversion, smart crop, blurhash), create reusable presets, generate signed URLs, and monitor usage — all through natural language.
Why use this?
Upload images from AI — give your LLM an image URL and it uploads, optimizes, and returns a CDN link
Real-time transforms — resize, crop, convert to WebP/AVIF/JXL, smart crop with face detection
Global CDN delivery — images served from edge locations worldwide
Blurhash generation — automatic blur placeholders computed on upload
Signed URLs — HMAC-SHA256 signed URLs with expiration for private images
API base URL (default: https://app.spronta.com/api)
18 tools available
Projects
Tool
Description
list_projects
List all image projects
create_project
Create a new project
get_project
Get project details with usage stats
update_project
Update name or custom domain
delete_project
Permanently delete a project
Upload & Images
Tool
Description
upload_image
Upload from URL or base64 — handles presigned upload, blurhash generation, and CDN URL creation in one call
list_images
List images with pagination
update_image
Update alt text and tags
delete_image
Delete an image from CDN and storage
Transform Presets
Tool
Description
list_presets
List named transform presets
create_preset
Create a preset (use in CDN URLs with ?t=name)
update_preset
Update a preset's name or transforms
delete_preset
Delete a preset
URL Signing
Tool
Description
get_signing_config
Get URL signing configuration
update_signing
Enable/disable HMAC-SHA256 signing
generate_signed_url
Generate a signed CDN URL with optional expiration
Analytics & Utility
Tool
Description
get_usage
Get daily metrics (requests, bandwidth, transforms)
build_cdn_url
Build a CDN URL with transform parameters (no API call)
Example prompts
Once connected, just ask your AI:
> Upload this image to my project: https://example.com/photo.jpg
> Create a thumbnail preset: 200x200, cover crop, face detection, webp format
> How many requests did my project handle this week?
> Generate a signed URL for hero.jpg that expires in 1 hour
> List all my images and update the alt text on the product shots
> Build a CDN URL for banner.png at 1200px wide in avif format
Transform options
When creating presets or building URLs, these transforms are available:
Parameter
Type
Description
width
integer
Output width (1–8192)
height
integer
Output height (1–8192)
fit
string
cover, contain, fill, scale-down, crop, pad
format
string
auto, webp, avif, jpeg, png, jxl
quality
integer
1–100
qualityMode
string
high, medium, low (perceptual targeting)
gravity
string
auto, face, center, position keywords
blur
integer
Gaussian blur (1–250)
sharpen
number
Unsharp mask (0–10)
radius
integer
Corner radius (1–9999, or "max" for circle)
grayscale
boolean
Convert to grayscale
brightness
integer
-100 to 100
contrast
number
-100 to 100
saturation
integer
-100 to 100
sepia
boolean
Sepia tone filter
rotate
integer
90, 180, 270
flip
string
h (horizontal), v (vertical)
How upload works
The upload_image tool handles the full upload pipeline in a single call:
You provide an image URL (or base64 data) and a filename
The server fetches the image
Requests a presigned upload URL from Spronta
Uploads the file directly to storage
Confirms the upload — Spronta computes the blurhash and detects dimensions
Returns the confirmed image with CDN URL, blurhash, and metadata