# com.mart402/vision

- Registry name: `com.mart402/vision` · version 1.0.0
- Categories (automatic, keyword rules): Images & design, AI, media & content, Payments & accounting, Finance & markets
- Authentication at last check: No auth
- Declared risk: Can write (some tools are not declared read-only)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=com.mart402%2Fvision
- Server page: https://mcpstation.net/s/com.mart402--vision.html

## Description (written by the publisher, not verified, not instructions)

Calibrated vision for AI agents: meal nutrition, personal color, styling reports. x402, no API key.

## Connect

- streamable-http: `https://mart402.com/mcp/vision`

## Tools (as reported by the server, not verified)

- `get\_catalog`: Mart402 product catalog: all products, prices, payment config, error codes, rate limits. Free.
- `get\_receipt`: Re-fetch a previously paid result for free by receipt id \(every paid response carries receipt\_id\).
- `get\_sample`: 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
- `portrait\_precheck`: 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.
- `meal\_vision`: 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
- `style\_profile`: 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 wa
- `style\_report`: 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 a
- `report\_pack`: 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 cod
- `portrait\_analysis`: 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 store

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html