What is the TrainRec remote MCP server?
The TrainRec remote MCP server is a hosted Model Context Protocol endpoint at https://api.trainrec.app/mcp, so AI assistants can connect to it without installing or running anything locally.

@Manifest Post, Inc.
Basic information
Transport
Streamable HTTP
Authentication
OAuth
Category
Other
Author
Manifest Post, Inc.
Submitted by
Kevin Kelsey
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/mcpTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
This server requires authentication. Tool discovery may require signing in or credentials from the provider.
Fetch the live tool list directly from this server's endpoint using the button above.
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
The TrainRec remote MCP server is a hosted Model Context Protocol endpoint at https://api.trainrec.app/mcp, so AI assistants can connect to it without installing or running anything locally.
Add the endpoint https://api.trainrec.app/mcp to any MCP-compatible client such as Claude Code, Cursor, or VS Code. The setup snippets on this page configure each client in one step.
Yes. TrainRec uses OAuth: the first time you connect, your MCP client opens a browser window to sign in and authorize access, then reuses the credentials for future sessions.
TrainRec exposes a Streamable HTTP endpoint, the transport used by remote MCP servers and supported by all major MCP clients.
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