MCP server for downloading and optimizing images
MCP server for downloading and optimizing images. The mcp image downloader mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 2 defined tools rather than through you.
An MCP server that provides tools for downloading and optimizing images. Built using the Model Context Protocol (MCP), this server enables AI assistants to download images from URLs and perform basic image optimization tasks.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Everything the assistant can do here goes through one of these:
download_image — Parameters: - url: URL of the image to download - outputPath: Path where to save the imageoptimize_image — Parameters: - inputPath: Path to the input image - outputPath: Path where to save the optimized image - width (optional): Target width (maintainsThis sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. MCP Image Downloader's toolset — download_image, optimize_image — is a fair guide to whether it matches your workflow. It is maintained by qpd-v; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| download_image | Parameters: - url: URL of the image to download - outputPath: Path where to save the image |
| optimize_image | Parameters: - inputPath: Path to the input image - outputPath: Path where to save the optimized image - width (optional): Target width (maintains aspect ratio if only width is specified) - height (optional): Target heigh |
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