How It Works
It's an MCP (Model Context Protocol) server with 1️⃣ 3️⃣ tools for working with images:
Fetch OG images from URLs
Get OG metadata (title, description, date)
Find favicons and Apple touch icons
Extract YouTube thumbnails
Resize with smart fit modes
Crop to specific regions
Convert between formats (JPEG, PNG, WebP, GIF, TIFF, AVIF)
Rotate and flip
Apply filters (grayscale, blur, sharpen, brightness, contrast, saturation)
Optimize and compress
Compose/overlay images
Extract color palettes
Get image info (dimensions, format, EXIF data)
All from Claude Code or Cursor. Anything that supports an MCP.
No context switching. No external tools. Just ask and it's done.
Notes from Building
This feels like just the beginning
MCP tools let you turn one-off tasks into durable capabilities that live inside your dev environment. Instead of asking an LLM to generate a script and hoping it works, you give it access to a vetted tool with predictable behavior.
You’ve seen some MCPs from us before, but thinking about how tools like this fit into your personal workflow opens up a lot more to explore. Seeing this slot so seamlessly into my own workflow, I can’t help but think about what to build next.
From fetch to full toolkit
In this case, it started as just one script: a way to fetch OG images from a URL.
But the moment you can fetch images, you need to manipulate them. Resize for thumbnails. Crop for social media. Convert formats for the web. There’s always more to do.
So one tool became thirteen. A simple fetcher turned into a complete image manipulation server.
Job to be done
This followed a familiar pattern. Once you start building, the real job starts reveals itself. The goal wasn’t just to fetch an image. It was to produce a complete, optimized, ready-to-use image that I’d already approved.
We see the same thing often when scoping work for our clients. What may start as one ask expands once conversations deepen and discovery begins. The deeper you go, the clearer the real problem becomes. We’ve come to expect that shift in most full-scale projects.
Sometimes it helps to pay attention to the friction. It often reveals the problem you’re actually trying to solve.