MCP Image Server

Example Use Cases

• 1

  Fetch and standardize images from URLs or local file paths and return them as base64-encoded strings with accurate MIME types.

• 2

  Automatic compression or resizing of large images to reduce bandwidth and memory usage before passing images to downstream models or services.

• 3

  Process multiple images in parallel and integrate image fetching/processing into MCP-enabled platforms like Windsurf or Cursor.

Description

This MCP server fetches images from HTTP/HTTPS URLs, local filesystem paths, and numpy arrays, optionally compressing or resizing large images and returning them as base64-encoded strings with proper MIME types. It supports parallel processing of multiple images, automatic compression for files over 1MB, and special handling for large local images to improve performance. The server is designed for easy integration with agent platforms (examples include Windsurf and Cursor) and provides robust error handling and logging.