How to Use the YMovE Fitness MCP in Cursor

Q: How do I get structured workout data using YMovE Fitness in Cursor?

Use the agent to call generateworkout. Since this is an IDE context, the resulting routine shows up as live, injectable code that you can immediately use or modify.

Q: Can I generate a multi-week program using YMovE Fitness and Cursor?

Yes. You run generateprogram to get the structured plan data, which is perfect for writing out complex, stateful code that represents weeks of training.

Q: What if I need ingredient lists using YMovE Fitness in Cursor?

Use getrecipedetails. The function call returns the full recipe structure—ingredients and instructions—that you can then write to a database or pass as an argument.

Q: Is it possible to check food details using YMovE Fitness in Cursor?

You absolutely can. Use getfooddetails after finding the initial ID with barcode search. This gives you clean, typed data right inside your editor.

Q: How do I find diet-specific recipes using YMovE Fitness and Cursor?

Just call searchrecipes, passing in the desired diet (like 'vegan' or 'keto') as a filter. The output is usable code that represents matching recipes.

Inject live YMovE Fitness data directly into your code using Cursor.

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Connect YMovE Fitness MCP to Cursor

Create your Vinkius account to connect YMovE Fitness 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 YMovE Fitness with Cursor

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Scripting fitness routines.

When you're coding, run the AI agent to call `generate_workout` and inject the resulting routine JSON right into your script. You get live data, not mock stubs. You can also use `list_muscle_groups` or `list_exercise_types` to write validation logic against the official YMovE Fitness exercise taxonomy.

Parsing nutrition barcodes.

Need to build a component that takes UPCs? Use the agent to call `get_food_by_barcode`. The resulting nutritional breakdown pops into your code, ready for parsing. If you're building an inventory tool, use `search_foods` and let the API fill in the data fields automatically.

Generating meal plan endpoints.

Build a function that accepts calorie targets. Call `generate_meal_plan` and write the full resulting structure into your code's memory space. This makes testing real-world outputs simple. Want to search for recipes dynamically? Use `search_recipes` and feed the results directly into a data model you're creating.

Setup guide

Set up YMovE Fitness 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 YMovE Fitness 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 YMovE Fitness transactions." If the MCP tools are loaded correctly, Cursor will call the YMovE Fitness tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "ymove-fitness-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 YMovE Fitness. 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 YMovE Fitness MCP in Cursor

Use the agent to call `generate_workout`. Since this is an IDE context, the resulting routine shows up as live, injectable code that you can immediately use or modify.

Yes. You run `generate_program` to get the structured plan data, which is perfect for writing out complex, stateful code that represents weeks of training.

Use `get_recipe_details`. The function call returns the full recipe structure—ingredients and instructions—that you can then write to a database or pass as an argument.

You absolutely can. Use `get_food_details` after finding the initial ID with barcode search. This gives you clean, typed data right inside your editor.

Just call `search_recipes`, passing in the desired diet (like 'vegan' or 'keto') as a filter. The output is usable code that represents matching recipes.

Use it with your favorite AI tools

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