How to Use the Fitbit MCP in Mastra AI

Build automated health monitoring workflows in Mastra AI using granular tool access.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Fitbit MCP to Mastra AI

Create your Vinkius account to connect Fitbit to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Fitbit with Mastra AI

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Automated workflow health triggers

Create conditional logic that reacts to health changes. If `get_heart_rate_by_date` shows an anomaly, your Mastra AI agent can trigger a notification or log a specific event. Use the workflow engine to chain `create_activity_goal` with follow-up status checks. Your agents handle the logic, ensuring your health tracking remains proactive.

Resilient multi-step health logging

Handle data entry failures with built-in retries. When calling `create_food_log` or `create_water_log`, the system automatically manages transient errors. Your Mastra AI workflows stay stable even if an API call stumbles. This provides a reliable backbone for managing user health records over time.

Advanced profile and device management

Sync user data across your infrastructure by using `get_profile` and `get_devices`. These tools allow your agents to understand the hardware context before executing actions. Update user settings via `update_profile` or manage specific alerts using `create_alarm`. Your Mastra AI agent maintains control over the entire environment.

Setup guide

Set up Fitbit MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Fitbit tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "fitbit-alternative-mcp-client",
  servers: {
    "fitbit-alternative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Fitbit Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Fitbit tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Fitbit transactions"
);
console.log(result.text);

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