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Fitbit MCP Server for Google ADK 14 tools — connect in under 2 minutes

Built by Vinkius GDPR 14 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Fitbit as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="fitbit_agent",
    instruction=(
        "You help users interact with Fitbit "
        "using 14 available tools."
    ),
    tools=[mcp_tools],
)
Fitbit
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Fitbit MCP Server

Connect your Fitbit account to any AI agent and gain instant access to your comprehensive health and fitness data through natural conversation.

Google ADK natively supports Fitbit as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 14 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • Activity Tracking — Retrieve daily activity summaries including steps, distance, calories, and active minutes for any date
  • Sleep Analysis — Access detailed sleep logs with stages (deep, light, REM, awake) for individual nights or time series trends
  • Heart Rate Monitoring — Query resting heart rate, intraday zones, and historical cardiac trends
  • SpO2 & Breathing — View blood oxygen saturation levels and breathing rate data
  • Body Composition — Track weight measurements and cardio fitness scores over time
  • Nutrition Logs — Access water intake and food logging data for dietary tracking
  • Device Management — Check connected Fitbit devices and their sync status

The Fitbit MCP Server exposes 14 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Fitbit to Google ADK via MCP

Follow these steps to integrate the Fitbit MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 14 tools from Fitbit via MCP

Why Use Google ADK with the Fitbit MCP Server

Google ADK provides unique advantages when paired with Fitbit through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Fitbit

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Fitbit tools with BigQuery, Vertex AI, and Cloud Functions

Fitbit + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Fitbit MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Fitbit and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Fitbit tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Fitbit regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Fitbit

Fitbit MCP Tools for Google ADK (14)

These 14 tools become available when you connect Fitbit to Google ADK via MCP:

01

get_activities_date

Returns steps, calories burned, distance walked, active minutes, floors climbed, elevation and sedentary minutes. Date format: YYYY-MM-DD or "today". Get activity summary for a specific date

02

get_activities_timeseries

Resource paths: "steps", "calories", "distance", "floors", "elevation", "minutesSedentary", "minutesLightlyActive", "minutesFairlyActive", "minutesVeryActive", "activityCalories". Period: 1d, 7d, 30d, 1w, 1m, 3m, 6m, 1y, max or startDate/endDate (YYYY-MM-DD). Detail level: "1min", "5min", "15min", "1day" for intraday data. Get activity time series data over a date range

03

get_body_weight

Returns weight in kg, BMI, fat percentage and date logged. Date format: YYYY-MM-DD. Get body weight log entries for a specific date

04

get_breathing_rate

Returns breathing rate in breaths per minute. Available on Fitbit devices with SpO2 sensors. Date format: YYYY-MM-DD. Get breathing rate for a specific date

05

get_cardio_fitness_score

Returns VO2 Max values and percentile rankings. Date format: YYYY-MM-DD. Get cardio fitness score (VO2 Max) for a date range

06

get_devices

Returns device version, MAC address, battery level, last sync time and device type. Get all Fitbit devices connected to the user's account

07

get_foods_date

Returns total calories consumed, macros (carbs, protein, fat), water intake and list of logged foods with meal times. Date format: YYYY-MM-DD or "today". Get food log summary for a specific date

08

get_heart_date

Returns resting heart rate, heart rate zones (fat burn, cardio, peak, out of range) and calories burned in each zone. Date format: YYYY-MM-DD or "today". Get heart rate summary for a specific date

09

get_heart_timeseries

Returns resting heart rate and heart rate zones per day. Detail level: "1min", "5min", "15min", "1day" for intraday BPM data. Get heart rate time series data over a date range

10

get_profile

Returns display name, full name, age, height, weight, gender, locale, timezone, avatar URL and member since date. Get the authenticated user's Fitbit profile

11

get_sleep_date

Returns sleep start time, duration, minutes asleep, minutes awake, minutes in each sleep stage (light, deep, REM, awake), efficiency score and number of awakenings. Date format: YYYY-MM-DD or "today". Get sleep log for a specific date

12

get_sleep_timeseries

Returns daily sleep summaries with start time, duration, minutes asleep, efficiency and sleep stages. Date range format: startDate/endDate (YYYY-MM-DD). Get sleep log over a date range

13

get_spo2

Returns average SpO2 percentage and min/max values. Available on Fitbit devices with SpO2 sensors. Date format: YYYY-MM-DD. Get blood oxygen saturation (SpO2) for a specific date

14

get_water

Returns water consumption in milliliters and timestamps. Date format: YYYY-MM-DD. Get water intake log for a specific date

Example Prompts for Fitbit in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Fitbit immediately.

01

"How did I sleep last night?"

02

"Show my heart rate trends for the past week."

Troubleshooting Fitbit MCP Server with Google ADK

Common issues when connecting Fitbit to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Fitbit + Google ADK FAQ

Common questions about integrating Fitbit MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect Fitbit to Google ADK

Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.