Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Your training, sleep, recovery and fuel for the AI you use: it reads your week and plans the next.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
https://api.memory.fit/mcpRun this in your terminal
claude mcp add --transport http memory-fit https://api.memory.fit/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"memory-fit": {
"url": "https://api.memory.fit/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"memory-fit": {
"type": "http",
"url": "https://api.memory.fit/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://api.memory.fit/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified against the domain memory.fit (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 10 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
https://api.memory.fit/mcp (Streamable HTTP)Authorization: Bearer mem_pat_….| 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.
{
"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_..." }
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.
The connection settings in this repository are MIT licensed. Memory.fit, the server and the app are not.