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ExerciseBank

by exercisebankversion 0.1.1i★ –iRuns on your computer
Registry namenet.exercisebank/exercisebank-mcp

Install

Overview

Description from the maker (original English)

Search 1,492 filmed exercises by muscle, equipment, pattern and joints to avoid; get substitutes.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory
  • You need to fill in: EB_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: EB_KEY, EB_END_USER

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

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-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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.

Open in VS Code

Or copy the settings yourself

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • EB_KEY secret required env
    Your ExerciseBank API key. Free sandbox key, no card: https://exercisebank.net/signup
  • EB_END_USER env
    Optional. An opaque id for the person at this machine; enables get_media_urls (signed video and still URLs). Counts as an end user on the plan.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain exercisebank.net (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7249 servers in this category
  • Published to the registry more recently than 44% of the other 7249 servers in this category
  • Basic checks equal to or better than 100% of the other 7249 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is ExerciseBank safe?

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.

What keys or codes does it need?

You need to fill in: EB_KEY

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Codebase Memory

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Runs on your computer★ 48,148MITUpdated 20 days ago
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Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
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README from the maker

Open the README

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.

exercisebank-mcp

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.

Install

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.

Tools

ToolWhat it does
get_vocabularyThe exact filter values: muscles, equipment, movement patterns, joints, impact; the catalogue version; the ids a sandbox key gets video for
search_exercisesSearch and filter: q, muscle, equipment (the gear the person has), pattern, minDifficulty, maxDifficulty, excludeJoints, impact, unilateral, limit, offset
get_exerciseThe full record: description, coaching cues, French, classification
get_substitutesRanked replacements with a score and a reason each, filtered by gear and joints to avoid
get_media_urlsSigned video and still URLs. Only when EB_END_USER is set (below)
Video

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.

In your product

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.

  • API reference: https://exercisebank.net/docs · for language models: https://exercisebank.net/llms.txt
  • Pricing, by monthly end users: https://exercisebank.net/pricing

MIT licensed. The library itself is licensed through a plan: https://exercisebank.net/license

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