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Exercisedb

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/exercisedb

Install

Overview

Description from the maker (original English)

YMove exercise video API: search exercises, generate workouts and multi-week programs.

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: Design, images & audio

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).
  • The registry lists no key to fill in.

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": {
    "exercisedb": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/exercisedb",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add exercisedb -- npx -y @reneturcios/exercisedb mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "exercisedb": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/exercisedb",
        "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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "exercisedb": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/exercisedb",
        "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.

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.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo

  • … 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 Design, images & audioi

  • More stars than 0% of the other 2165 servers in this category
  • Published to the registry more recently than 91% of the other 2165 servers in this category
  • Basic checks equal to or better than 100% of the other 2165 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 Exercisedb 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (0.1.0) reached the registry 3 days 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, Docker on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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Claude Real Video

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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.

exercisedb

An MCP server and CLI over the YMove exercise API, which catalogues more than 1,400 exercises with video. Six tools cover the everyday questions a training app or an agent asks of that catalogue: find exercises that fit a filter, open one exercise in full, have a workout generated for a set of muscle groups, have a whole multi-week program generated, and read the two vocabularies (muscle groups and exercise types) the filters draw from, each with its exercise counts.

Whatever the API answers comes back exactly as it answered: each tool returns a single text item carrying the upstream JSON, unchanged. Nothing is reshaped, cached or stored, which also means the API's own properties carry through — exercise video URLs, for instance, are signed by the upstream service and expire after 48 hours.

The six tools:

  • search_exercises — filter the catalogue by free text, muscle group, exercise type, equipment and difficulty, keep only exercises that have video, and page through the results. Every argument is optional.
  • get_exercise — one exercise by its ID or slug: video URLs, instructions and the muscles it works.
  • generate_workout — a structured workout with sets, reps and rest times. muscleGroup is required; it takes an array of muscle groups, and a single string is accepted and treated as a one-element array. Equipment, exercise types, difficulty, exercise count, structure, rounds and warmup / cooldown blocks are all tunable.
  • generate_program — a multi-week training program with periodization, shaped by goal, difficulty, days per week, number of weeks and available equipment.
  • list_muscle_groups — every muscle group in the catalogue, with its exercise count.
  • list_exercise_types — every exercise type, with counts.

Arguments that the REST API documents but the tool set does not expose are deliberately left out: the search tool has no white-background / gym-video or video-tag filters and no include / exclude video-list switches.

Configuration

The API is keyed. Set your YMove key before running:

export YMOVE_API_KEY="..."

Every request carries the key as the X-API-Key header. A call made without the key fails with YMOVE_API_KEY is not set before any request leaves the process. Validation also runs before any request: a missing required argument reports : missing required argument: and a wrong-typed one reports : argument has the wrong type. An upstream failure is reported as upstream error: HTTP from ymove-api, or upstream unreachable: ymove-api when the API cannot be reached at all.

CLI

Each tool is a subcommand taking one JSON argument string:

npx @reneturcios/exercisedb search_exercises '{"muscleGroup":"chest","hasVideo":true}'

npx @reneturcios/exercisedb get_exercise '{"id":"barbell-squat"}' npx @reneturcios/exercisedb generate_workout '{"muscleGroup":["chest","triceps"],"exerciseCount":8}' npx @reneturcios/exercisedb generate_program '{"goal":"strength","weeks":6,"daysPerWeek":3}' npx @reneturcios/exercisedb list_muscle_groups '{}' npx @reneturcios/exercisedb --version

Output is the upstream JSON body, unchanged. Exit codes: 0 on success, 1 on a runtime error (including a validation, API-key or upstream failure), 2 on a usage error.

MCP server

npx -y @reneturcios/exercisedb mcp

MCP client config:

{

"mcpServers": { "exercisedb": { "command": "npx", "args": ["-y", "@reneturcios/exercisedb", "mcp"], "env": { "YMOVE_API_KEY": "..." } } } }

Docker

docker run -i -e YMOVE_API_KEY="..." ghcr.io/cloudcorprecords/exercisedb

docker run --rm -e YMOVE_API_KEY="..." ghcr.io/cloudcorprecords/exercisedb list_exercise_types '{}'

Development

npm install

npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (fake fetch only, no network) npm run dev # run the CLI from source

License

MIT — Copyright (c) 2026 Rene Turcios

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