Categories › Media & Design › Image generation & editing
Image processing for AI agents: resize, convert, compress, crop, and web-ready AI-generated images.
Remote server: your requests and data go to api.pictomancer.ai. Claude Code: claude mcp add --transport http image-processing https://api.pictomancer.ai/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
get_format_info — Get supported formats and options Returns supported output formats and their configurable options. ### Responses: **200**: Successful Responestimate_cost — Estimate the price of an operation Returns the exact USD price this API would charge for an operation on an input of the given size, withoutanalyze_image — Analyze an image Fetch an image from a URL or base64 and return its metadata: size in bytes, pixel dimensions, source format, and what it coresize_image — Resize an image Scale an image by a factor, or fill an exact box. Use 'scale' for uniform scaling, or 'scale_x'/'scale_y' for independent axcompress_image — Compress an image Re-encode an image with quality/format options to reduce file size. Supports jpeg, png, webp, tiff, gif. Instead of a q nuconvert_image — Convert image format Convert an image to a different format (jpeg, png, webp, tiff, gif, avif). Optionally set quality, strip metadata, enabcrop_image — Crop an image Extract a rectangular region from an image, in one of three mutually exclusive modes. Manual: give the top-left corner (x, y) optimize_for_vision — Resize an image for a vision model Resize an image to the largest size a given vision model still benefits from, and report what it costs thoptimize_generated_image — Optimize an AI-generated image for the web The step after image generation. gpt-image, DALL-E, Flux, Midjourney and Stable Diffusion hand baremove_image_background — Remove the background from an image Cut the subject (person, product, animal, object) out of a photo and return it on a transparent backgrouimage_pipeline — Run a multi-step image pipeline Chain multiple operations (resize, compress, convert, crop) in sequence. The image is fetched once, then eacNot tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.