Context7
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Description from the maker (original English)
Search 1,492 filmed exercises by muscle, equipment, pattern and joints to avoid; get substitutes.
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.
EB_KEY, EB_END_USERValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"exercisebank": {
"command": "npx",
"args": [
"-y",
"exercisebank-mcp"
],
"env": {
"EB_KEY": "your-value",
"EB_END_USER": "your-value"
}
}
}
}Run this in your terminal
claude mcp add exercisebank --env EB_KEY=your-value --env EB_END_USER=your-value -- npx -y exercisebank-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"exercisebank": {
"command": "npx",
"args": [
"-y",
"exercisebank-mcp"
],
"env": {
"EB_KEY": "your-value",
"EB_END_USER": "your-value"
}
}
}
}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": {
"exercisebank": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"exercisebank-mcp"
],
"env": {
"EB_KEY": "your-value",
"EB_END_USER": "your-value"
}
}
}
}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.
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EB_END_USER envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 7, 2026
The registry name was verified against the domain exercisebank.net (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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.
You need to fill in: EB_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Context7, Codebase Memory, Exa
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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
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A Model Context Protocol server for the ExerciseBank API: 1,492 studio-filmed exercises with a hand-checked classification and a ranked map of which exercises can replace which. It lets Claude, Cursor and other MCP clients search real exercises by muscle, equipment, movement pattern, difficulty and joints to avoid, so a plan is built from exercises that exist, with videos your app is licensed to show.
Use it while you build on the API (your coding agent explores the catalogue and the vocabulary as it writes your integration) or to prototype a workout generator before writing any code.
Get a free sandbox key (no card) at https://exercisebank.net/signup, then:
Claude Code
claude mcp add exercisebank --env EB_KEY=eb_live_… -- npx -y exercisebank-mcp
Claude Desktop, Cursor, Windsurf and other clients (claude_desktop_config.json, .cursor/mcp.json, …)
{
"mcpServers": { "exercisebank": { "command": "npx", "args": ["-y", "exercisebank-mcp"], "env": { "EB_KEY": "eb_live_…" } } } }
It runs on your machine over stdio; the key stays in your client's configuration. Node 18 or later.
| Tool | What it does |
|---|---|
get_vocabulary | The exact filter values: muscles, equipment, movement patterns, joints, impact; the catalogue version; the ids a sandbox key gets video for |
search_exercises | Search and filter: q, muscle, equipment (the gear the person has), pattern, minDifficulty, maxDifficulty, excludeJoints, impact, unilateral, limit, offset |
get_exercise | The full record: description, coaching cues, French, classification |
get_substitutes | Ranked replacements with a score and a reason each, filtered by gear and joints to avoid |
get_media_urls | Signed video and still URLs. Only when EB_END_USER is set (below) |
ExerciseBank signs media only for a named person, and that person counts as an end user on the plan. To get get_media_urls, add an opaque id for whoever is at this machine:
"env": { "EB_KEY": "eb_live_…", "EB_END_USER": "dev-laptop-anna" }
URLs expire after 15 minutes. A sandbox key gets media for the 50-exercise sample listed by get_vocabulary; a paid plan gets all 1,492.
This server is for the developer's desk. A product calls the API from its own backend, with its own users' ids: use the exercisebank client and see the guide, an AI workout generator with Claude.
MIT licensed. The library itself is licensed through a plan: https://exercisebank.net/license