How to Use the ExerciseDB MCP in Cursor

Q: Can the Cursor agent write unit tests using ExerciseDB?

Yes. The agent calls tools like getexercisesbybodypart to fetch live payloads, which it then uses to generate accurate mock data and unit tests for your fitness app.

Q: How do I find all exercises targeting the hamstrings?

The agent calls getexercisesbytarget with the parameter "hamstrings". It returns a list of matching movements, complete with equipment requirements and step-by-step instructions.

Write fitness applications with real movement metadata using the ExerciseDB MCP Server directly inside Cursor.

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Connect ExerciseDB MCP to Cursor

Create your Vinkius account to connect ExerciseDB to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup ExerciseDB with Cursor

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Code training apps with live ExerciseDB data

`get_all_exercises` pulls raw exercise names, target muscles, equipment, and step-by-step instructions with built-in pagination. This tool gives your editor direct access to the full database of 1300+ movements. Instead of coding with dummy data, Cursor calls this tool to inject real payloads straight into your active files. You write cleaner code because you see the exact shape of the incoming JSON.

Validate equipment in Cursor

`get_equipment_list` and `get_target_list` return the exact string constants accepted by the database. These tools prevent typos and runtime errors when you build custom search filters. Your coding agent uses these lists to generate correct type definitions and dropdown options. You spend less time debugging API errors and more time building your application layout.

Query specific movements by unique identifiers

`get_exercise_by_id` retrieves a single, detailed exercise record complete with secondary muscles and GIF URLs. It is the core tool for building detail views in your fitness software. If you are building a search bar, Cursor uses `get_exercises_by_name` to test your search logic against real database queries. This ensures your front-end filters match the back-end response patterns.

Setup guide

Set up ExerciseDB MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the ExerciseDB MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent ExerciseDB transactions." If the MCP tools are loaded correctly, Cursor will call the ExerciseDB tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "exercisedb-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ExerciseDB. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about ExerciseDB MCP in Cursor

Create a .cursor/mcp.json file in your project root. Add the MCP server configuration under the mcpServers key, then enable Agent mode in your chat panel to start using the tools.

Yes. The agent calls tools like `get_exercises_by_body_part` to fetch live payloads, which it then uses to generate accurate mock data and unit tests for your fitness app.

This MCP Server allows Cursor to execute the tools directly during your coding session. You don't have to copy-paste JSON payloads from a browser window or external API client.

The agent calls `get_exercises_by_target` with the parameter "hamstrings". It returns a list of matching movements, complete with equipment requirements and step-by-step instructions.

No. The server only handles requests for public anatomical terms, equipment names, and exercise instructions. Your proprietary source code and local project files remain entirely private within your editor.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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