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MCP server

vision

By mart402All Mart402 servers

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

First seen 20 Oct 2026. One server, whatever directories list it: each directory listing keeps its own page and history.

1
Directories
Collected by InvokeRank
9
Tools
From an anonymous probe
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ToolBench grade
Not graded by Arcade
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GitHub stars
No repository data

Tools

ToolDescriptionBehaviour
get_catalogMart402 product catalog: all products, prices, payment config, error codes, rate limits. Free.Read-only
get_receiptRe-fetch a previously paid result for free by receipt id (every paid response carries receipt_id).Read-only
get_sampleFree 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-tax, jp-social-insurance, meal-vision, ocr, parse, pdf-info, pdf-merge, pdf-pages, portrait-analysis, report-pack, structured, style-profile, style-report, verify.Read-only
meal_visionAnalyze 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. $0.05/image.Changes data
portrait_analysisPersonal 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.Changes data
portrait_precheckFREE 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.Read-only
report_packVolume 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.Changes data
style_profileIntegrated 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.Changes data
style_reportClient-ready deliverable: the style-profile analysis rendered as a finished English PDF report (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 (pass pack_code).Changes data

Directory listings

DirectoryListingTierFirst seen
Official MCP Registrycom.mart402/vision-20 Oct 2026