Can I query sleep data for a specific date range?

Yes! Use the sleep time series tool to query sleep trends across any date range. You can also inspect a single night in detail with the sleep date tool, including all sleep stages.

What health metrics can I access?

You can access 14 different health metrics: activities, sleep (date & time series), heart rate (date & time series), SpO2, breathing rate, cardio fitness score, body weight, water intake, food logs, device info, and user profile.

Fitbit MCP Server for OpenAI Agents SDK 14 tools — connect in under 2 minutes

Name: Fitbit
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 14 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Fitbit through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Fitbit Assistant",
            instructions=(
                "You help users interact with Fitbit. "
                "You have access to 14 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Fitbit"
        )
        print(result.final_output)

asyncio.run(main())

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* 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.

The OpenAI Agents SDK auto-discovers all 14 tools from Fitbit through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Fitbit, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Fitbit MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 14 tools from Fitbit

Why Use OpenAI Agents SDK with the Fitbit MCP Server

OpenAI Agents SDK provides unique advantages when paired with Fitbit through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Fitbit + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Fitbit MCP Server delivers measurable value.

Automated workflows: build agents that query Fitbit, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Fitbit, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Fitbit tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Fitbit to resolve tickets, look up records, and update statuses without human intervention

Fitbit MCP Tools for OpenAI Agents SDK (14)

These 14 tools become available when you connect Fitbit to OpenAI Agents SDK via MCP:

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

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

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

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

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

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

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

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

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

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

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

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

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

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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Fitbit immediately.

"How did I sleep last night?"

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

Troubleshooting Fitbit MCP Server with OpenAI Agents SDK

Common issues when connecting Fitbit to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Fitbit + OpenAI Agents SDK FAQ

Common questions about integrating Fitbit MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.