Verified conversions across 205 color spaces: CSS strings, gamut checks, .cube LUTs
Nothing to run from here
Vision 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.
93/100
tool-list score
9
tools declared
remote
at its publisher
—
calls last 7d
What it does
Calibrated vision for AI agents: meal nutrition, personal color, styling reports. x402, no API key.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http mart402-vision-mcp https://mart402.com/mcp/vision
# 2 — ask your agent for something these tools do
# get_catalog, get_receipt, get_sample and 6 more
Vision costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
MAAll 5 servers
mart4025 servers
5 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 mart402-vision-mcp https://mart402.com/mcp/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
9 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.
Mart402 product catalog: all products, prices, payment config, error codes, rate limits. Free.
No parameter schema on file.
Re-fetch a previously paid result for free by receipt id (every paid response carries receipt_id).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| receipt_id | string | yes | receipt_id from a paid response (rcpt_...) |
Free recorded sample response for a paid product (from real production runs, marked sample:true) - see the exact response shape before paying anything. Available: document-pipeline, enrich, extract, jp-bonus-net, jp-business-days, jp-company, jp-consumption-tax, jp-crypto-tax, jp-dependent-threshold, jp-mortgage, jp-overtime-wage, jp-payroll-net, jp-payroll-suite, jp-payslip-audit, jp-retirement-t
| Parameter | Type | Required | Notes |
|---|---|---|---|
| product | string | yes | One of: document-pipeline, enrich, extract, jp-bonus-net, jp-business-days, jp-company, jp-consumption-tax, jp-crypto-tax, jp-dependent-threshold, jp-mortgage, jp-overtime-wage, jp-payroll-net, jp-pay |
FREE analyzability check before paying for portrait_analysis: is a face detectable, is the photo quality good enough (clipping/color cast)? Deterministic, no LLM. 10/hour/IP.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| image_url | string | no | Absolute http(s) URL of the image (JPEG/PNG/WebP) |
| image_base64 | string | no | Base64-encoded image bytes (alternative to image_url) |
Analyze a meal photo to itemized nutrition JSON: dishes, portions, kcal, macros with per-item confidence, reference-object scale calibration, scene-complexity detection, a disclosed calibrated kcal range, PFC balance ratios and alcohol-aware 4/4/9 cross-checks. Calibrated on 30 weighed meals (range contained truth in 26/30). Every call is a 3-run consensus with disclosed spread + item agreement. $
| Parameter | Type | Required | Notes |
|---|---|---|---|
| image_url | string | no | Absolute http(s) URL of the image (JPEG/PNG/WebP) |
| image_base64 | string | no | Base64-encoded image bytes (alternative to image_url) |
| hints | string | no | cuisine/context hint, e.g. 'Japanese teishoku, small diet portions' - measurably improves accuracy on regional home-style meals |
| pack_code | string | no | retry credit issued after an unbilled failed call (replaces payment) |
| x_payment | string | no | Optional: base64 X-PAYMENT header value (x402 exact scheme, USDC on Base mainnet). Omit it to receive the payment requirements (accepts[] + docs) for this call without being charged. |
Integrated styling verdict: seasonal color (measured colorimetry consensus) + face-impression zone (published geometry rules) + body frame + integration rules (palette subset, taste, silhouette, modifiers). 1-3 face photos, optional full-body + questionnaire. Flat $0.05/call. Choose this when you want the integrated styling analysis as JSON to use or render yourself; it is the same analysis that s
| Parameter | Type | Required | Notes |
|---|---|---|---|
| image_url | string | no | Absolute http(s) URL of the image (JPEG/PNG/WebP) |
| image_base64 | string | no | Base64-encoded image bytes (alternative to image_url) |
| images | array | no | Up to 3 objects {image_url | image_base64} |
| body_image_url | string | no | Optional full-body photo URL for frame estimation |
| body_image_base64 | string | no | See the product's input spec in /catalog |
| questionnaire | object | no | Optional frame questionnaire answers (see /catalog input spec) |
| style | string | no | One of: feminine, masculine, neutral. Styling context: feminine, masculine or neutral |
| x_payment | string | no | Optional: base64 X-PAYMENT header value (x402 exact scheme, USDC on Base mainnet). Omit it to receive the payment requirements (accepts[] + docs) for this call without being charged. |
Client-ready deliverable: the style-profile analysis rendered as a finished PDF report in English or Japanese (palette with color names, style-aware outfit formulas, virtual draping boards with disclosed candidate conflicts, honest confidence) returned as report_pdf_base64 + full profile JSON. For agents serving human end-clients. Flat $2.99/call, or $1.99/unit with a prepaid report_pack credit (p
| Parameter | Type | Required | Notes |
|---|---|---|---|
| image_url | string | no | Absolute http(s) URL of the image (JPEG/PNG/WebP) |
| image_base64 | string | no | Base64-encoded image bytes (alternative to image_url) |
| images | array | no | 1-3 face photos |
| style | string | no | One of: feminine, masculine, neutral. Styling context: feminine, masculine or neutral |
| name | string | no | client name printed on the report (same field as REST; client_name is accepted as an alias) |
| body_image_url | string | no | optional full-body photo URL (body-shape layer) |
| body_image_base64 | string | no | optional full-body photo as base64 |
| questionnaire | object | no | optional answers (see /catalog style-report input) |
| language | string | no | report language |
| pack_code | string | no | prepaid credit from report_pack (replaces payment) |
| x_payment | string | no | Optional: base64 X-PAYMENT header value (x402 exact scheme, USDC on Base mainnet). Omit it to receive the payment requirements (accepts[] + docs) for this call without being charged. |
Volume pricing for style_report: one $19.90 payment returns 10 single-use credit codes ($1.99/unit vs $2.99 single, en or ja, no expiry). Treat codes like cash. Not an analysis: it buys prepaid style_report credits. Choose this only when you expect to produce several style_report PDFs; pass each code as pack_code to style_report.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| x_payment | string | no | Optional: base64 X-PAYMENT header value (x402 exact scheme, USDC on Base mainnet). Omit it to receive the payment requirements (accepts[] + docs) for this call without being charged. |
Personal color analysis from 1-3 portraits: measured pixel colorimetry (CIELAB/ITA) cross-checked against vision-model attributes, cross-photo lighting consistency, then a published deterministic rule table gives the 4-season verdict with palette and style advice. No identification; images not stored. Flat $0.05/call. Choose this when you need only the seasonal color verdict and palette as JSON. F
| Parameter | Type | Required | Notes |
|---|---|---|---|
| image_url | string | no | Absolute http(s) URL of the image (JPEG/PNG/WebP) |
| image_base64 | string | no | Base64-encoded image bytes (alternative to image_url) |
| images | array | no | up to 3 of {image_url|image_base64}; different lighting recommended |
| style | string | no | One of: feminine, masculine, neutral. Styling context: feminine, masculine or neutral |
| pack_code | string | no | retry credit issued after an unbilled failed call (replaces payment) |
| x_payment | string | no | Optional: base64 X-PAYMENT header value (x402 exact scheme, USDC on Base mainnet). Omit it to receive the payment requirements (accepts[] + docs) for this call without being charged. |
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 Vision or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATool-list grade · score 93 / 100
Release 1.0.0 · scanned 25 Oct 2026
Graded from the tools this server lists, not from its source code.
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.
Threat score100
Client score93
Findings0 threat · 8 capability
Capabilitymoderate
Coveragemanifest
Verificationnot in this report
Surface digest5ebb7c3e745fd18c3d80790c15e6b05d742570f0d0e3caad70abc16831833d26
Score vectorthreat 100 → client 93
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | moderate | capability blast radius (moderate) — client exposure if the model is manipulated | −3 |
| coverage-honesty | manifest | inspection depth (manifest) — how much of the target the scan could see | −4 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
The scan read each tool’s name, description, input schema and annotations exactly as the server listed them the last time it answered us; no code was reviewed. We ask the server again about once a month, and a list that changed is graded again.
Tool surfaceread
Implementation sourcenot available
Package metadatanot available
Live transportnot available
The implementation source was not read — this reflects the declared tool metadata only.
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. moderate is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| get_catalog | no tags | |
| get_receipt | untrusted-input | untrusted-input: keyword "fetch" |
| get_sample | no tags | |
| portrait_precheck | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| meal_vision | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| style_profile | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| style_report | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| report_pack | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| portrait_analysis | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
flow-1
Untrusted input can drive an external action even though no sensitive source is exposed.
Supply chain and provenance
Integrityfirst-seen
Surface digest5ebb7c3e745fd18c
Scanned2026-10-25
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
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 1.0.0.
1.0.0
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 Vision 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.