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How to Use the Fitbit MCP in Cursor

Inject your live Fitbit biometric and activity data directly into your Cursor chat to build custom health dashboards.

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Connect Fitbit MCP to Cursor

Create your Vinkius account to connect Fitbit 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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Build fitness dashboards with live Cursor data

The `get_activities_date` tool feeds your daily step counts, active minutes, and calories burned directly into your Cursor workspace. Your agent uses these live numbers to write and test frontend components without relying on static mock JSON. This means you can write a dashboard component in Cursor and instantly populate it with your actual Fitbit steps. The MCP Server ensures your development environment has immediate access to your real-world performance metrics.

Analyze sleep architecture in your editor

The `get_sleep_timeseries` tool pulls your nightly sleep duration, sleep stages, and efficiency scores directly into Cursor. Your coding agent uses this time series data to test your data visualization scripts and custom charting libraries. Instead of writing dummy arrays, you feed Cursor your actual sleep cycles to verify how your code handles null values or irregular sleep patterns. It turns your Fitbit sleep log into a live testing ground for your analytics apps.

Debug health apps using real biometric profiles

The `get_profile` tool retrieves your Fitbit display name, age, height, weight, and locale directly inside Cursor. Your agent reads these profile fields to validate user onboarding flows and profile-matching algorithms in your code. Having your actual physical stats available via this MCP Server lets you debug formatting issues with weight or height units instantly. You see exactly how your app processes real Fitbit payload structures in real time.

Setup guide

Set up Fitbit MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 2

    Add the Fitbit 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. 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. 4

    Verify the connection

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

.cursor/mcp.json
{
  "mcpServers": {
    "fitbit-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 Fitbit. 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 Fitbit MCP in Cursor

Add this Fitbit MCP Server configuration to your global `~/.cursor/mcp.json` or your project-specific config file. Once saved, enable Agent mode in Cursor to let your coding agent query the Fitbit endpoints.
Yes, Cursor calls `get_heart_timeseries` to fetch your daily heart rate zones and resting rate. Your agent can use this live data to populate your custom UI widgets and verify your calculation logic.
You ask Cursor to query `get_spo2` which returns your average, minimum, and maximum blood oxygen levels. Your agent can then write and test functions that format these specific SpO2 percentages.
No, this Fitbit MCP Server queries the API directly, so Cursor gets fresh metrics without any local database setup. Your agent handles the API responses directly in your active code files.
Your weight logs from `get_body_weight` and food intake from `get_foods_date` are only fetched when you explicitly run a query in Cursor. The connection uses ephemeral MCP tokens, ensuring your dietary and body metrics are never stored or exposed to external servers.

Start using the Fitbit MCP today

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