AI & MemoryMCP RegistryremoteB · 68

Memory.fit MCP server

Name: Memory.fit
Author: memory.fit

fit.memory · Updated today

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

At a glance

Memory.fit is an MCP server in the AI & Memory category. It is hosted remotely and connects over HTTP, and declares no required credentials. It scores B (68/100) on the MCP Skills Hub health score as of Oct 27, 2026.

Source 0

One-click install

VS Code VS Code Insiders Cursor

Opens your editor and pre-fills the config. Your editor will ask before adding it.

How to install Memory.fit in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install Memory.fit in Claude CodeAnthropic's agentic CLI

Add the server

bash

claude mcp add --transport http memory-fit https://api.memory.fit/mcp

2
Verify it's connected
bash
```
claude mcp list
```
Sharing it with your team?
Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).
Use it in a session
Ask Claude to use the tools this server exposes. It discovers them automatically.

How to install Memory.fit in Claude DesktopDesktop app (MCP config)

Open your MCP config
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

Add this server

json

{
  "mcpServers": {
    "memory-fit": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.memory.fit/mcp"
      ]
    }
  }
}

Why the wrapper?
This is a remote (HTTP) server and Claude Desktop only launches local processes, so mcp-remote proxies the connection. It will open a browser window if the server needs OAuth.
Restart Claude Desktop
The tools appear under the 🔌 menu once the app reloads.

How to install Memory.fit in CursorAI-first code editor

Create / edit .cursor/mcp.json in your project

json

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

Enable it
Cursor Settings → MCP → toggle the server on. Tools become available to the Composer/Agent.

How to install Memory.fit in Codex CLIOpenAI coding agent

Add to ~/.codex/config.toml

toml

[mcp_servers.memory-fit]
command = "npx"
args = ["-y", "mcp-remote", "https://api.memory.fit/mcp"]

Why the wrapper?
Codex runs MCP servers as local processes, so mcp-remote bridges this HTTP endpoint to stdio.
Run Codex
Codex loads MCP servers from config.toml on startup and exposes their tools to the agent.

How to install Memory.fit in WindsurfCodeium's agentic IDE

Edit ~/.codeium/windsurf/mcp_config.json

json

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

Reload
Windsurf → Cascade → refresh MCP servers. Cascade can now call the tools.

How to install Memory.fit in ClineVS Code autonomous agent

Open Cline → MCP Servers → Configure
Adds to cline_mcp_settings.json.

Add the server

json

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

How to install Memory.fit in VS CodeCopilot / MCP support

Create .vscode/mcp.json

json

{
  "servers": {
    "memory-fit": {
      "type": "http",
      "url": "https://api.memory.fit/mcp"
    }
  }
}

Start it
VS Code shows a ▶ Start action above the server entry. Agent mode (Copilot Chat) can then use the tools.

What tools does Memory.fit expose?

This server requires credentials before it will list its tools, so we cannot enumerate them here. Connect it in your client to see what it offers.

What the code can do

This is a remote server — nothing is installed or run on your machine, so there is no local code to analyze. What it can reach is described above: your requests go to the provider's host.

Before you install

Signals gathered from the source repo and package registry — not a safety verdict.

What it can reach

Third-party hosted service — Your requests and any data in them are sent to api.memory.fit.
No local execution — Nothing is installed or run on your machine.

Last commit today — Actively maintained.
Repository created today — Very new project with little track record yet.
0 GitHub stars — Very little community usage so far.

Client compatibility

Claude Code: NativeClaude Desktop: Via mcp-remoteCursor: NativeCodex CLI: Via mcp-remoteWindsurf: NativeCline: NativeVS Code: Native

Health score

B · 68

Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated

Maintenance30%100%
Last commit 0 days ago.
Adoption20%0%
0 stars.
Transparency20%75%
3/4: ✓ public source repo, ✓ declared license, ✓ documentation, ✗ discoverable tool list.
Provenance15%75%
Links to its own repository; package linkage unverified.
Packaging15%75%
Remote endpoint; authentication requirements not declared.

Documentation

Full 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

| App | How | |---|---| | Claude | Settings › Connectors › Add custom connector, paste the address | | ChatGPT | Settings › Apps and connectors › Create, paste the address | | Grok, Grok Bot | Connectors › New connector › Custom, paste the address | | Cursor | Install this plugin, or add mcp.json from this repo to ~/.cursor/mcp.json | | Claude Code | claude mcp add --transport http memory-fit https://api.memory.fit/mcp | | Codex | codex mcp add memory-fit --url https://api.memory.fit/mcp | | Gemini CLI | gemini extensions install https://github.com/Fun-Management-SRL/memory-fit-mcp | | Cline | MCP Servers › Remote Servers: name memory-fit, URL https://api.memory.fit/mcp, transport Streamable HTTP (or the JSON below) | | Anything else | Any 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

json

{
  "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:

json

"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.

Alternatives to Memory.fit

Maintain Memory.fit? Add a badge to your README

Shows its health grade, and links readers to install steps for every client.

markdown

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Catalog data refreshed Oct 27, 2026. Something wrong? Report it.