About spronta
spronta is an MCP server for uploading, transforming, and delivering images through the Spronta Image CDN. It lets AI assistants manage images, reusable transform presets, signed URLs, and usage metrics through tools.
Key features
- 01Upload images from URLs or base64
- 02Transform images in real time
- 03Create reusable transform presets
- 04Generate signed CDN URLs
- 05View usage metrics
Use cases
- 01Upload images and obtain CDN links
- 02Prepare thumbnails and other image variants
- 03Share private images with expiring URLs
- 04Review image delivery usage
MCP support
The MCP server exposes tools for project and image management, transformations, presets, URL signing, and usage metrics through the Spronta Image CDN.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README@spronta/mcp
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
- Named presets — create reusable transform configurations (e.g.
thumbnail,hero,og-image) - No vendor lock-in — MIT licensed, open source
Quick start
Install
npm install -g @spronta/mcp
# or use directly
npx @spronta/mcp
Claude Code
claude mcp add spronta \
-e SPRONTA_API_KEY=spronta_img_... \
-e SPRONTA_PROJECT_ID=your-project-id \
-- npx @spronta/mcp
Claude Desktop / Cursor / Windsurf
Add to your MCP configuration file:
{
"mcpServers": {
"spronta": {
"command": "npx",
"args": ["@spronta/mcp"],
"env": {
"SPRONTA_API_KEY": "spronta_img_...",
"SPRONTA_PROJECT_ID": "your-project-id"
}
}
}
}
Get your API key
- Sign up at app.spronta.com (free tier: 100 images)
- Create a project in the dashboard
- Copy your API key from project settings
Environment variables
| Variable | Required | Description |
|---|---|---|
SPRONTA_API_KEY | Yes | Your project API key |
SPRONTA_PROJECT_ID | No | Default project ID (can also be passed per-tool) |
SPRONTA_API_URL | No | 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
Related packages
@spronta/images— Core URL builder SDK (zero deps)@spronta/images-react— React components@spronta/images-next— Next.js integration- WordPress plugin — Automatic CDN for WordPress
Links
License
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.