Vision

com.mart402由 mart402.com 發布官方發布者v1.0.0更新於 Oct 25, 2026

面向AI代理程式的校準視覺:餐食營養、個人色彩、造型報告。x402,無需API金鑰。

AI 翻譯由 AI 模型根據下方的原文描述翻譯,可能有誤。

原文描述

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

發布方自己的服務:Extract

已驗證Streamable HTTP可網頁執行位置與生活AI 與機器學習

概覽

Vision 的託管 MCP 服務(mart402.com),由 mart402.com 發布;無需登入;Streamable HTTP;9 個工具。

暫無 AI 概覽:以下資訊來自註冊中心條目和服務本身。

發布者
mart402.com
端點
mart402.com
最近檢查

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Vision,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/com.mart402%2Fvision/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "vision": {
      "type": "http",
      "url": "https://mart402.com/mcp/vision"
    }
  }
}

工具

9

get_catalog

Mart402 catalog (products, prices, policies)

Mart402 product catalog: all products, prices, payment config, error codes, rate limits. Free.

無需輸入參數。

get_receipt

Re-fetch a paid result by receipt

Re-fetch a previously paid result for free by receipt id (every paid response carries receipt_id).

輸入參數receipt_id必填

get_sample

Mart402 sample output

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-tax, jp-social-insurance, meal-vision, ocr, parse, pdf-info, pdf-merge, pdf-pages, portrait-analysis, report-pack, structured, style-profile, style-report, verify.

輸入參數product必填

portrait_precheck

Check a portrait photo (free)

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.

輸入參數image_urlimage_base64

meal_vision

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 contained truth in 26/30). Every call is a 3-run consensus with disclosed spread + item agreement. $0.05/image.

輸入參數hintsimage_urlpack_codex_paymentimage_base64

style_profile

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 want the integrated styling analysis as JSON to use or render yourself; it is the same analysis that style_report turns into a PDF. For color only use portrait_analysis.

輸入參數styleimagesimage_urlx_paymentimage_base64questionnairebody_image_urlbody_image_base64

style_report

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 agents serving human end-clients. Flat $2.99/call, or $1.99/unit with a prepaid report_pack credit (pass pack_code). Choose this when the result goes to a HUMAN end-client as a finished document; if you will present the result yourself, style_profile returns the same analysis as JSON for less.

輸入參數namestyleimageslanguageimage_urlpack_codex_paymentimage_base64questionnairebody_image_urlbody_image_base64

report_pack

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 code as pack_code to style_report.

輸入參數x_payment

portrait_analysis

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 stored. Flat $0.05/call. Choose this when you need only the seasonal color verdict and palette as JSON. For the fuller styling verdict (face impression, body frame, silhouette) use style_profile; for a finished PDF for a human client use style_report.

輸入參數styleimagesimage_urlpack_codex_paymentimage_base64

版本歷史

1
  1. v1.0.0最新Oct 20, 2026

評分

已滿足適用檢查項的 72%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分

    請在註冊中心條目中發布圖示。

  • 文件15 分

    請宣告包含 README 的 GitHub 儲存庫,或在 OAuth 受保護資源後設資料中提供 resource_documentation。

  • 授權條款不適用

    託管服務按其提供方的條款使用,因此這裡不要求授權條款。此檢查項不計入百分比。

其他 Mart402 整合