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How to Use the API Ninjas MCP in Windsurf

Use API Ninjas in Windsurf to pull real-time health data and nutrition specs directly into your IDE context.

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Windsurf

Connect API Ninjas MCP to Windsurf

Create your Vinkius account to connect API Ninjas to Windsurf 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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Windsurf handles complex fitness calculations

Cascade takes your fitness goals and runs `get_bmr` or `get_tdee` to get your exact energy needs. It handles the math so you don't have to crunch numbers manually. Windsurf chains these results with `get_nutrition` to build meal plans that actually match your stats. It turns raw health data into actionable plans inside your editor.

Search exercise routines with Windsurf

You ask Cascade for a workout and it uses `get_exercises` to find movements based on muscle group or equipment. It filters through the database to give you specific sets and instructions. This MCP Server provides the data while Cascade formats it into your project documentation. You get tailored gym routines without ever leaving your code.

Track physical metrics in your editor

Use `get_body_fat` or `get_calories_burned` to log your progress throughout the day. The server returns precise percentages and burn rates for specific activities. Windsurf captures this output to generate progress reports or logs. It keeps your health tracking tied directly to your development environment.

Setup guide

Set up API Ninjas MCP in Windsurf

Prerequisites

  • Windsurf IDE installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.

  2. 2

    Add the API Ninjas MCP

    Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Refresh MCPs

    Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.

  4. 4

    Verify in Cascade

    Start a new Cascade conversation and ask something like "Show my API Ninjas payment history." If connected, Cascade will call the API Ninjas tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json
{
  "mcpServers": {
    "api-ninjas-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by API Ninjas. 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 API Ninjas MCP in Windsurf

Open your Windsurf settings and navigate to the Cascade MCP panel. You can add the server configuration directly there or use the built-in marketplace to link your account.
Yes, Cascade can pull nutrition data for any food item using the tool. It then uses that info to calculate daily intake requirements for you.
No, it requires an active internet connection. The tools fetch data from live endpoints to provide accurate health metrics.
Your metrics stay local to your machine. Only the specific parameters you provide are sent to the API to generate your results.
Your weight and height data are only sent to the service to perform the calculation. The Vinkius sandbox ensures these requests remain isolated and ephemeral.

Start using the API Ninjas MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for API Ninjas. Just plug in your AI agents and start using Vinkius.

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