Calories Club: AI Food Tracker

AI-powered calorie tracking with photo recognition, barcode scanning, and voice logging

这个条目提供什么？

Calories Club: AI Food Tracker 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 93/100。作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。安装命令已列于上方，可直接复制使用。在将 Calories Club: AI Food Tracker 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。

事实快照

来源: Official MCP Registry
质量: 93/100
安装方式: streamable-http
仓库: 仅 registry
仓库更新: 2026年8月13日

安装命令

mcp add app.recordo.api/calories-club https://api.recordo.app/api/mcp/calories/mcp

安装方式: streamable-http

运行此命令前，请先核对上游源码。

来源条目

质量

仓库 Stars

仓库更新

2026年8月13日

质量分如何计算？

由六个维度加权得出，满分 100。
来源可信度（25）：是否收录于官方或精选 registry。
可安装性（25）：可直接运行的命令 > 已声明传输方式 > 仅源码。
维护活跃度（20）：最近推送时间；已归档条目此项为 0。
采用度（20）：仓库 star 数，按对数曲线计分。
文档完整性（10）与描述质量（10）：是否有已解析的 manifest 或 SKILL.md frontmatter，以及是否为真实描述而非占位文本。
某个来源结构上无法提供的维度（registry 不提供 star 和许可证）不计入该条目的平均分，而不是记为 0 分，因此不同来源的条目仍可横向比较。

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-08-13T08:53:02.043681Z",
      "publishedAt": "2026-08-13T08:53:02.043681Z",
      "statusChangedAt": "2026-08-13T08:53:02.043681Z"
    }
  },
  "server": {
    "name": "app.recordo.api/calories-club",
    "_meta": {
      "io.modelcontextprotocol.registry/publisher-provided": {
        "notes": [
          "OAuth 2.1 authentication required - users must sign up or sign in via Calories Club account",
          "Tools: list_entries, add_entry, update_entry, delete_entry, get_day_summary, scan_barcode",
          "Interactive widgets for meal logging and daily summaries in supported hosts",
          "Privacy-first: photos and audio are processed and never stored on servers"
        ],
        "license": "Proprietary",
        "examples": [
          {
            "name": "Log a meal",
            "note": "Say 'I had a turkey sandwich with avocado for lunch' and the AI will extract calories and macros",
            "description": "Add a food entry by describing what you ate"
          },
          {
            "name": "Check daily progress",
            "note": "Ask 'What did I eat today?' or 'How many calories have I had?'",
            "description": "Get a summary of today's nutrition"
          },
          {
            "name": "Query meal history",
            "note": "Ask 'When was the last time I had pizza?' or 'Show me my protein intake this week'",
            "description": "Search through past food entries"
          }
        ],
        "keywords": [
          "calorie",
          "nutrition",
          "food",
          "tracker",
          "counter",
          "diet",
          "health",
          "macros",
          "meal",
          "ai",
          "photo-recognition",
          "barcode"
        ],
        "publisher": "Recordo Apps",
        "documentation": "https://caloriesclub.app/mcp/calories"
      }
    },
    "icons": [
      {
        "src": "https://api.recordo.app/app-assets/calories/icon.png"
      }
    ],
    "title": "Calories Club: AI Food Tracker",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://api.recordo.app/api/mcp/calories/mcp",
        "type": "streamable-http"
      }
    ],
    "version": "1.0.4",
    "websiteUrl": "https://caloriesclub.app",
    "description": "AI-powered calorie tracking with photo recognition, barcode scanning, and voice logging"
  }
}

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