MCP.so
Sign In

TrainRec MCP ServerVerifiedFeatured

@Manifest Post, Inc.

Basic information

Transport

Streamable HTTP

Authentication

OAuth

Category

Other

Author

Manifest Post, Inc.

Submitted by

Kevin Kelsey

About TrainRec MCP Server

Your AI assistant logs your meals and workouts, then plans your week from what you did. iPhone, Android and Garmin.

#fitness#workout tracker#calorie counter#nutrition

Connection details

https://api.trainrec.app/mcp

Setup

claude mcp add trainrec --transport http https://api.trainrec.app/mcp

TrainRec MCP Server tools

Tool 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.

Overview

What is TrainRec?

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.

Try asking

  • Log 3 eggs and toast for breakfast.
  • Log bench press: 185 pounds, 3 sets of 8.
  • How much protein have I eaten today?
  • Plan my workouts for this week and put them on my watch.

Setup

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

Frequently asked questions

1

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.

2

How do I connect to the TrainRec MCP server?

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.

3

Does the TrainRec MCP server require authentication?

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.

4

Which transport does the TrainRec MCP server use?

TrainRec exposes a Streamable HTTP endpoint, the transport used by remote MCP servers and supported by all major MCP clients.

Comments