All servers · Images & design · Payments & accounting
com.mart402/vision
com.mart402/vision · v1.0.0
New (7 days)Tools changed (7 days)
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Can write (some tools are not declared read-only) |
| Capabilities declared | tools |
| Tool definitions | 9 tools · with description 100% · input schema is an object 100% · read/destructive hints 100% |
Description written by the publisher, not verified
Calibrated vision for AI agents: meal nutrition, personal color, styling reports. x402, no API key.
Connect
streamable-http · https://mart402.com/mcp/vision
claude mcp add --transport http vision https://mart402.com/mcp/vision{
"mcpServers": {
"vision": {
"url": "https://mart402.com/mcp/vision"
}
}
}Tools as reported by the server
get_catalogMart402 product catalog: all products, prices, payment config, error codes, rate limits. Free.get_receiptRe-fetch a previously paid result for free by receipt id (every paid response carries receipt_id).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-thresholdportrait_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.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 (rangestyle_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. Choose this when you wastyle_reportClient-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 areport_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. Not an analysis: it buys prepaid style_report credits. Choose this only when you expect to produce several style_report PDFs; pass each codportrait_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 store
Tool changes
- 2026-10-24: get_catalog, get_receipt, get_sample, portrait_precheck, meal_vision, style_profile, style_report, report_pack, portrait_analysis
- 2026-10-21: get_catalog, get_receipt, get_sample, portrait_precheck, meal_vision, style_profile, style_report, report_pack, portrait_analysis
Website · JSON · Text for agents · Registry updated 2026-10-20