Blender integration through the Model Context Protocol
Image Processing is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Image processing for AI agents: resize, convert, compress, crop, and web-ready AI-generated images.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http api-pictomancer-ai-image-processing-mcp https://api.pictomancer.ai/mcp
# 2 — ask your agent for something these tools do
# get_format_info, estimate_cost, analyze_image and 7 more
Image Processing costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http api-pictomancer-ai-image-processing-mcp https://api.pictomancer.ai/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
10 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Get supported formats and options Returns supported output formats and their configurable options. ### Responses: 200: Successful Response (Success Response) Content-Type: application/json
No parameter schema on file.
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, without fetching or processing anything. Free. Use it before paying: send X-Max-Cost-USD on the real request to have the API refuse (412) instead of charging more than you allowed. The list price is returned even when the request could end up free (free tier, or a c
| Parameter | Type | Required | Notes |
|---|---|---|---|
| operation | string | yes | Operation to price. One of resize, compress, convert, crop, optimize_for_vision, optimize_generated, pipeline. analyze is always free. |
| input_bytes | integer | yes | Size of the input image in bytes. Get it from analyze_image (free) if you do not know it. |
| format | string | no | Requested output format; only avif changes the price. |
| quality_target | boolean | no | Whether the request will use quality_target (SSIM search surcharge). |
| operations | array | no | For pipeline only: the ordered operations, each {type, format?}. Volume discount applies at 3+ operations. |
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 costs every supported vision model in tokens. Always free. Dimensions are omitted if the image header cannot be read. Also reports whether the input carries a C2PA (Content Credentials) manifest and in which container; the manifest is not validated. ### Respon
| Parameter | Type | Required | Notes |
|---|---|---|---|
| source | string | yes | Image source: a public URL (https://...) or a base64-encoded string (optionally as a data URI like data:image/png;base64,...). |
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 axes (float factors, e.g. 0.5 = half size). Alternatively set 'width'+'height' for fill mode: resize and smart-crop to those exact dimensions in one call (optional 'gravity', default attention). The two modes are mutually exclusive. Optional enhancement modifie
| Parameter | Type | Required | Notes |
|---|---|---|---|
| delivery | string | no | — |
| source | string | yes | Image source: a public URL (https://...) or a base64-encoded string (optionally as a data URI like data:image/png;base64,...). |
| scale_x | number | no | Horizontal scale factor (e.g. 0.5 = half width). If only scale_x is given, scale_y defaults to the same value. |
| scale_y | number | no | Vertical scale factor (e.g. 0.75 = 75% height). Optional; defaults to scale_x if omitted. |
| scale | number | no | Uniform scale factor applied to both axes (e.g. 0.5 = half size). Use this for simple scaling; use scale_x/scale_y for independent axes. |
| format | string | no | Output format: jpeg, png, webp, tiff, gif, or avif. If omitted, the original format is preserved. |
| width | integer | no | Target width in pixels for fill mode: resize and smart-crop to these exact dimensions in one call. Requires height. Mutually exclusive with scale/scale_x/scale_y. Upscaling is allowed. |
| height | integer | no | Target height in pixels for fill mode. Requires width. |
| gravity | string | no | Fill-mode smart-crop strategy: one of ('attention', 'entropy', 'centre'). Only valid together with width and height; defaults to attention. |
| autorot | boolean | no | Apply EXIF orientation before resizing. Opt-in; default false, which preserves current byte-for-byte behavior. |
| denoise | integer | no | Median denoise before resizing: radius 1-3 (window 3x3 to 7x7). Opt-in; no surcharge. |
| equalize | boolean | no | Auto-contrast (histogram equalisation of the value channel; hue and saturation preserved) before resizing. Opt-in. |
| sharpen | boolean | no | Unsharp-mask sharpen after resizing (libvips defaults). Opt-in. |
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 number you can set quality_target (0-1]: the smallest file with SSIM at or above the target, searched on the worker (jpeg, webp, avif; flat surcharge; outcome reported in X-Pictomancer-Quality-* headers). If the output is not smaller than the input, the request
| Parameter | Type | Required | Notes |
|---|---|---|---|
| delivery | string | no | — |
| source | string | yes | Image source: a public URL (https://...) or a base64-encoded string (optionally as a data URI like data:image/png;base64,...). |
| q | integer | no | Quality (1-100). Lower = smaller file. Typical values: 60-80 for web, 85-95 for print. Maps to libvips Q parameter. |
| format | string | no | Output format: jpeg, png, webp, tiff, gif, or avif. If omitted, the original format is preserved. |
| strip | boolean | no | Strip metadata (EXIF, ICC profile, etc.) from the output. Reduces file size slightly. |
| quality_target | number | no | Target SSIM (0-1]: the worker searches for the smallest file that still scores at least this. Alternative to q; mutually exclusive with it. Requires an explicit format among jpeg, webp, avif. Carries |
| autorot | boolean | no | Apply EXIF orientation before compressing. Opt-in; default false, which preserves current byte-for-byte behavior. |
| denoise | integer | no | Median denoise before compressing: radius 1-3 (window 3x3 to 7x7). Opt-in; no surcharge. |
| equalize | boolean | no | Auto-contrast (histogram equalisation of the value channel; hue and saturation preserved) before compressing. Opt-in. |
| sharpen | boolean | no | Unsharp-mask sharpen after compressing (libvips defaults). Opt-in. |
Convert image format Convert an image to a different format (jpeg, png, webp, tiff, gif, avif). Optionally set quality, strip metadata, enable lossless mode (webp, avif), or tune encoder effort (avif). Instead of a q number you can set quality_target (0-1]: the smallest file with SSIM at or above the target, searched on the worker (jpeg, webp, avif; flat surcharge; outcome reported in X-Pictomanc
| Parameter | Type | Required | Notes |
|---|---|---|---|
| delivery | string | no | — |
| source | string | yes | Image source: a public URL (https://...) or a base64-encoded string (optionally as a data URI like data:image/png;base64,...). |
| format | string | yes | Target format: jpeg, png, webp, tiff, gif, or avif. |
| q | integer | no | Quality (1-100). Maps to libvips Q parameter. |
| strip | boolean | no | Strip metadata (EXIF, ICC profile, etc.) from the output. |
| lossless | boolean | no | Enable lossless encoding. Only applies to webp and avif. |
| effort | integer | no | AV1 encoder CPU effort (0-9). Higher = smaller file, slower. Only applies to avif. |
| quality_target | number | no | Target SSIM (0-1]: the worker searches for the smallest file that still scores at least this. Alternative to q; mutually exclusive with it and with lossless. Only for jpeg, webp, avif. Carries a flat |
| autorot | boolean | no | Apply EXIF orientation before converting. Opt-in; default false, which preserves current byte-for-byte behavior. |
| denoise | integer | no | Median denoise before converting: radius 1-3 (window 3x3 to 7x7). Opt-in; no surcharge. |
| equalize | boolean | no | Auto-contrast (histogram equalisation of the value channel; hue and saturation preserved) before converting. Opt-in. |
| sharpen | boolean | no | Unsharp-mask sharpen after converting (libvips defaults). Opt-in. |
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) and dimensions (width, height) in pixels. Smart crop: give 'gravity' (attention, entropy, centre) plus width and height; the window is picked automatically, clamped to the source if the target is larger. Trim: set 'trim: true' (optional 'threshold') to remove
| Parameter | Type | Required | Notes |
|---|---|---|---|
| delivery | string | no | — |
| source | string | yes | Image source: a public URL (https://...) or a base64-encoded string (optionally as a data URI like data:image/png;base64,...). |
| x | integer | no | Left edge of the crop rectangle in pixels. Manual mode only. |
| y | integer | no | Top edge of the crop rectangle in pixels. Manual mode only. |
| width | integer | no | Width of the crop rectangle in pixels. Required in manual and gravity modes. |
| height | integer | no | Height of the crop rectangle in pixels. Required in manual and gravity modes. |
| gravity | string | no | Smart-crop mode: picks the window automatically. One of ('attention', 'entropy', 'centre'). Requires width and height; mutually exclusive with x/y and trim. A target larger than the source clamps to t |
| trim | boolean | no | Trim mode: removes a uniform background border via content detection. Mutually exclusive with x/y/width/height/gravity. |
| threshold | number | no | Trim sensitivity (must be positive; default 10.0). Only valid together with trim: true. |
| autorot | boolean | no | Apply EXIF orientation before cropping. Opt-in; default false, which preserves current byte-for-byte behavior. |
| denoise | integer | no | Median denoise before cropping: radius 1-3 (window 3x3 to 7x7). Opt-in; no surcharge. |
| equalize | boolean | no | Auto-contrast (histogram equalisation of the value channel; hue and saturation preserved) before cropping. Opt-in. |
| sharpen | boolean | no | Unsharp-mask sharpen after cropping (libvips defaults). Opt-in. |
| format | string | no | Output format: jpeg, png, webp, tiff, gif, or avif. If omitted, the original format is preserved. |
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 that model in tokens before and after. Every provider downscales oversized input before counting tokens, so this alone saves bytes and upload latency rather than tokens. Pass max_tokens to trade resolution for tokens: that lever is continuous on Claude, unavail
| Parameter | Type | Required | Notes |
|---|---|---|---|
| delivery | string | no | — |
| source | string | yes | Image source: a public URL (https://...) or a base64-encoded string (optionally as a data URI like data:image/png;base64,...). |
| target_model | string | yes | Vision model the image is being prepared for, e.g. claude-opus-5, gpt-4o, gemini-2.5-pro. Unknown ids are rejected rather than guessed: the wrong limits would silently resize to the wrong size. |
| max_tokens | integer | no | Optional cap on what the image may cost the target model. Without it the image is resized to the model's own ceiling, which saves bytes and upload latency but no tokens, because every provider already |
| format | string | no | Output format: jpeg, png, webp, tiff, gif, or avif. If omitted, the original format is preserved. |
| q | integer | no | Quality (1-100). Maps to libvips Q parameter. |
Optimize an AI-generated image for the web The step after image generation. gpt-image, DALL-E, Flux, Midjourney and Stable Diffusion hand back 2-8 MB PNGs; this returns the same picture as a web-ready webp (default), avif, jpeg or png, metadata stripped, transparency kept on webp/avif/png. Optional max_dimension caps the longest side (never upscales); optional q or quality_target (smallest file w
| Parameter | Type | Required | Notes |
|---|---|---|---|
| delivery | string | no | — |
| source | string | yes | Image source: a public URL (https://...) or a base64-encoded string (optionally as a data URI like data:image/png;base64,...). |
| format | string | no | Output format: webp (default), avif, jpeg or png. webp, avif and png keep transparency; jpeg flattens it. |
| q | integer | no | Quality (1-100). Maps to libvips Q parameter. Omit to use the encoder default; or set quality_target instead. |
| quality_target | number | no | Target SSIM (0-1]: the worker searches for the smallest file that still scores at least this. Alternative to q; mutually exclusive with it. Carries a flat surcharge for the extra encodes. |
| max_dimension | integer | no | Cap on the longest side in pixels. Larger images are scaled down to fit, aspect ratio preserved; smaller images are never upscaled. |
| strip | boolean | no | Strip metadata. Defaults to true: generated images carry no EXIF worth keeping. Metadata includes any C2PA manifest, which would be invalid after re-encoding anyway. |
Run a multi-step image pipeline Chain multiple operations (resize, compress, convert, crop) in sequence. The image is fetched once, then each operation is applied to the output of the previous one. Max 10 operations per pipeline. ### Responses: 200: Processed image binary (Success Response) Content-Type: application/json Content-Type: image/jpeg Example Response: ``json "string" `` C
| Parameter | Type | Required | Notes |
|---|---|---|---|
| delivery | string | no | — |
| source | string | yes | Image source: a public URL (https://...) or a base64-encoded string (optionally as a data URI like data:image/png;base64,...). |
| operations | array | yes | Ordered list of operations to apply sequentially. Each operation receives the output of the previous one. Max 10. |
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Image Processing or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 0.4.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Image Processing can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.