Blender integration through the Model Context Protocol
Nothing to run from here
Moltline Vision Maths 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.
6
tools declared
—
trust score
remote
at its publisher
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calls last 7d
What it does
Image header probing, bbox conversion, resize plans and colour maths. 4 of 6 free.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http moltline-vision-maths-mcp https://mcp.moltlinestudio.com/vision
# 2 — ask your agent for something these tools do
# image_probe, bbox_convert, resize_plan and 3 more
Moltline Vision Maths costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
MOAll 22 servers
moltlinestudio22 servers
15 categories
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
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.
Claude Codedeclared by this listing
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 moltline-vision-maths-mcp https://mcp.moltlinestudio.com/visionReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
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.
What you approve
6 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.
Read an image's format and pixel size from its header alone. FREE. Dimensions live in the first few dozen bytes of PNG, JPEG, GIF, BMP and WebP, so a base64 prefix is enough - you do not need to send the whole file, and nothing is decoded. Typical input {"data_base64": "iVBORw0KG..."} returns {"format": "png", "width": 1920, "height": 1080, "aspect_ratio": 1.7778, "aspect_label": "16:9", "megapix
| Parameter | Type | Required | Notes |
|---|---|---|---|
| data_base64 | string | yes | The image file, base64-encoded. The first few hundred bytes are enough for every supported format; send a prefix rather than a large file. Data-URL prefixes like "data:image/png;base64," are accepted |
Convert bounding boxes between COCO, Pascal VOC and YOLO. FREE. The three formats disagree on everything: COCO is [x, y, width, height], VOC is [x1, y1, x2, y2], YOLO is [cx, cy, w, h] normalised to the image. Getting this wrong produces boxes that look plausible and quietly ruin every metric. Typical input {"boxes": [[10, 20, 100, 50]], "from_format": "coco", "to_format": "yolo", "image_width":
| Parameter | Type | Required | Notes |
|---|---|---|---|
| boxes | array | yes | Boxes to convert, each a list of exactly four numbers in from_format, e.g. [[10, 20, 100, 50]]. |
| from_format | string | yes | "coco" for [x, y, w, h], "voc" for [x1, y1, x2, y2], or "yolo" for normalised [cx, cy, w, h]. |
| to_format | string | yes | The format to convert to; same three choices. |
| image_width | integer | no | Pixel width, required whenever yolo is on either side. |
| image_height | integer | no | Pixel height, required whenever yolo is on either side. |
| clip | boolean | no | When true, clamp boxes to the image bounds instead of returning them as they are. Off by default, because a box outside the image is usually a bug worth seeing. |
Work out the exact scale, padding and crop for a model input size. FREE. Returns the numbers you need to transform boxes alongside the image, which is the step that usually gets skipped. Typical input {"width": 1920, "height": 1080, "target": "yolo_640"} returns {"scale": 0.3333, "resized": [640, 360], "pad": {"left": 0, "top": 140, "right": 0, "bottom": 140}, "box_transform": "x_new = x * 0.3333
| Parameter | Type | Required | Notes |
|---|---|---|---|
| width | integer | yes | Source image width in pixels. |
| height | integer | yes | Source image height in pixels. |
| target | string | no | A named preset: "clip_224", "vit_384", "yolo_640", "sam_1024", "sd_512", "sd_768" or "detr_800". Ignored when target_size is set. |
| target_size | integer | no | A square side length in pixels, overriding target. Use this for a size the presets do not cover. |
| mode | string | no | "letterbox" scales to fit and pads the remainder, preserving aspect; "cover" scales to fill and crops the overflow; "stretch" distorts to fit exactly. Default "letterbox". |
Check a colour pair against the WCAG contrast thresholds. FREE. Uses the WCAG 2 relative-luminance formula, so the number matches what an accessibility audit will report. Typical input {"foreground": "#767676", "background": "#ffffff"} returns {"contrast_ratio": 4.54, "AA": true, "AAA": false, "required": {"AA": 4.5, "AAA": 7.0}, "verdict": "Passes AA for normal text, fails AAA."}. Use when gene
| Parameter | Type | Required | Notes |
|---|---|---|---|
| foreground | string | yes | Text colour as hex, e.g. "#767676" or "767676" or "#777". |
| background | string | yes | Background colour in the same notation. |
| large_text | boolean | no | True for text at least 18pt, or 14pt bold, which WCAG allows to pass at a lower ratio. Default false. |
Remove duplicate detections of the same object. PREMIUM (license). Greedy non-maximum suppression: keep the highest-scoring box, drop everything overlapping it above the threshold, repeat. Ties break on the earlier index, so the result is deterministic rather than dependent on sort stability. Typical input {"boxes": [[0,0,10,10],[1,1,11,11],[50,50,60,60]], "scores": [0.9, 0.8, 0.7]} returns {"kee
| Parameter | Type | Required | Notes |
|---|---|---|---|
| boxes | array | yes | Candidate boxes in box_format, e.g. [[0, 0, 10, 10]]. |
| scores | array | yes | One confidence per box, same order and same length as boxes. |
| iou_threshold | number | no | Overlap above which the lower-scoring box is dropped. Default 0.5. |
| box_format | string | no | "voc", "coco" or "yolo". Default "voc". |
| image_width | integer | no | Pixel width; required for yolo boxes. |
| image_height | integer | no | Pixel height; required for yolo boxes. |
Score detections against ground truth and show the working. PREMIUM (license). Greedy matching at the IoU threshold, highest-confidence prediction first, each ground-truth box matched at most once - the standard protocol. Reports per-class precision, recall and F1, and average precision by the all-points interpolation used by Pascal VOC 2010 onward. Typical input {"predictions": [{"box": [0,0,10,
| Parameter | Type | Required | Notes |
|---|---|---|---|
| predictions | array | yes | Predicted boxes, each {"box": [...], "label": ..., "score": ...}. Score defaults to 1.0 when omitted. |
| ground_truth | array | yes | True boxes, each {"box": [...], "label": ...}. |
| iou_threshold | number | no | Overlap at which a prediction counts as a match. Default 0.5, the usual reporting threshold. |
| box_format | string | no | "voc", "coco" or "yolo". Default "voc". |
| image_width | integer | no | Pixel width; required for yolo boxes. |
| image_height | integer | no | Pixel height; required for yolo boxes. |
Free
$0 forever
- 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 Moltline Vision Maths or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
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Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
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 1.2.0.
1.2.0
undated
latestNo release note was published with this version.
—
no reviews yet
Who can review
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.
Sign in to write one
Any signed-in account that does not publish Moltline Vision Maths can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
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.