Vision

com.mart402由 mart402.com 发布官方发布者v1.0.0更新于 Oct 25, 2026

面向AI智能体的校准视觉:餐食营养、个人色彩、造型报告。x402,无需API密钥。

AI 翻译由 AI 模型根据下方的原文描述翻译,可能有误。

原文描述

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

发布方自己的服务:Extract

已验证Streamable HTTP可网页运行位置与生活AI 与机器学习

概览

Vision 的托管 MCP 服务(mart402.com),由 mart402.com 发布;无需登录;Streamable HTTP;9 个工具。

暂无 AI 概览:以下信息来自注册中心条目和服务本身。

发布者
mart402.com
端点
mart402.com
最近检查

安装

在 SourceWeft 中

  1. 打开 控制台中的 Vision,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/com.mart402%2Fvision/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "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.

无需输入参数。

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).

输入参数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.

输入参数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.

输入参数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.

输入参数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.

输入参数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.

输入参数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.

输入参数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.

输入参数styleimagesimage_urlpack_codex_paymentimage_base64

版本历史

1
  1. v1.0.0最新Oct 20, 2026

评分

已满足适用检查项的 72%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分

    请在注册中心条目中发布图标。

  • 文档15 分

    请声明包含 README 的 GitHub 仓库,或在 OAuth 受保护资源元数据中提供 resource_documentation。

  • 许可证不适用

    托管服务按其提供方的条款使用,因此这里不要求许可证。此检查项不计入百分比。

其他 Mart402 集成