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Memory Fit MCP Server

Developer ToolsLow Risk8.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

Your training, sleep, recovery and fuel for the AI you use: it reads your week and plans the next.

About

Your training, sleep, recovery and fuel for the AI you use: it reads your week and plans the next.

Remote endpoints: streamable-http: https://api.memory.fit/mcp

Security Report

8.0
Low Risk8.0Low Risk

Remote MCP endpoint verified (175ms response). 3 trust signals: valid MCP protocol, requires auth, registry import. No security issues detected.

Endpoint verified · Requires authentication · 2 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Remote servers are capped at 8.0 because source code is not available for review. The score reflects endpoint verification only.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "fit-memory-memory-fit": {
      "url": "https://api.memory.fit/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Memory.fit MCP

Memory.fit keeps your training, sleep, recovery and fuel in one place for the AI you already use. Your AI reads workouts from your watch and apps, sleep and HRV, and what you ate, then writes your week back: sessions, daily targets and meal plans, which show in the Memory.fit app on iPhone and Android.

This repository holds only the connection settings for Memory.fit MCP, a hosted server. There is nothing to run or build.

  • Address: https://api.memory.fit/mcp (Streamable HTTP)
  • Sign-in: OAuth 2.1 with dynamic client registration. Your AI opens the Memory.fit sign-in page; you choose what it may do. No key needed. AIs without sign-in can use a personal key from the app (Settings › AI agents › Use a key instead), sent as Authorization: Bearer mem_pat_….
  • Needs: a Memory.fit account, set up in the app first.

Connect

AppHow
ClaudeSettings › Connectors › Add custom connector, paste the address
ChatGPTSettings › Apps and connectors › Create, paste the address
Grok, Grok BotConnectors › New connector › Custom, paste the address
CursorInstall this plugin, or add mcp.json from this repo to ~/.cursor/mcp.json
Claude Codeclaude mcp add --transport http memory-fit https://api.memory.fit/mcp
Codexcodex mcp add memory-fit --url https://api.memory.fit/mcp
Gemini CLIgemini extensions install https://github.com/Fun-Management-SRL/memory-fit-mcp
ClineMCP Servers › Remote Servers: name memory-fit, URL https://api.memory.fit/mcp, transport Streamable HTTP (or the JSON below)
Anything elseAny MCP client: the address above, then sign in

Step-by-step pages for each AI: memory.fit/ai-coaches.

Cline, or any client with a JSON settings file

{
  "mcpServers": {
    "memory-fit": {
      "type": "streamableHttp",
      "url": "https://api.memory.fit/mcp",
      "disabled": false
    }
  }
}

The first call opens the Memory.fit sign-in (OAuth 2.1). A client without OAuth can use a personal key from the app (Settings › AI agents › Use a key instead) as a header:

"headers": { "Authorization": "Bearer mem_pat_..." }

What your AI can do

  • Read: workouts (Garmin, Wahoo, COROS, Polar, Suunto, Apple Health, Health Connect and more), sleep, HRV and resting heart rate, body composition, what you ate and drank, your races and goals.
  • Write, with your permission: training sessions (sent to your watch), daily targets, meal plans, logged meals, notes for your other AIs.
  • Check in: get_updates returns only what arrived since it last looked.

Memory.fit recommends nothing itself: the plans are your AI's, the data is yours. It is not medical advice.

Links

The connection settings in this repository are MIT licensed. Memory.fit, the server and the app are not.

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