TrainRec 远程 MCP 服务器是什么?
TrainRec 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://api.trainrec.app/mcp,AI 助手无需在本地安装或运行任何东西即可连接。

@Manifest Post, Inc.
基本信息
Your AI assistant logs your meals and workouts, then plans your week from what you did. iPhone, Android and Garmin.
https://api.trainrec.app/mcpclaude mcp add trainrec --transport http https://api.trainrec.app/mcp工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
此服务需要认证,获取工具列表可能需要登录或使用服务提供方的凭据。
点击上方按钮,直接连接服务器端点实时获取工具列表。
TrainRec is a workout and food log that your own AI assistant can read and write. Tell Claude, ChatGPT or Grok what you ate, and the meal is logged with calories, protein, carbs and fat. Tell it what you lifted, and every set is saved with its reps and weight.
Ask for a plan and it lands in the app, which walks you through it on your iPhone, Android phone, Apple Watch or Garmin watch. Afterward, ask how it went: your assistant reads your real numbers and adjusts what comes next. Every change your assistant makes is marked and can be undone in the app. The log itself is free.
Add https://api.trainrec.app/mcp as a connector and sign in with your TrainRec account. Step-by-step guide: https://trainrec.app/connect/
Privacy: https://trainrec.app/privacy/ · Support: hello@trainrec.app
TrainRec 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://api.trainrec.app/mcp,AI 助手无需在本地安装或运行任何东西即可连接。
把端点 https://api.trainrec.app/mcp 添加到任意支持 MCP 的客户端,比如 Claude Code、Cursor 或 VS Code。本页的接入代码块可以一步配置好每个客户端。
需要。TrainRec 使用 OAuth——第一次连接时,你的 MCP 客户端会打开浏览器窗口登录并授权,之后会复用这个凭证。
TrainRec 暴露的是 Streamable HTTP 端点,这是远程 MCP 服务器普遍使用、主流客户端都支持的传输方式。
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