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Why use Fitbit MCP Server with VS Code Copilot?

Bring Health Tracking
to VS Code Copilot

Create your Vinkius account to connect Fitbit to VS Code Copilot and start using all 14 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Get Activities DateGet Activities TimeseriesGet Body WeightGet Breathing RateGet Cardio Fitness ScoreGet DevicesGet Foods DateGet Heart DateGet Heart TimeseriesGet ProfileGet Sleep DateGet Sleep TimeseriesGet Spo2Get Water
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Fitbit

What is the 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.

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

How it works

  1. Subscribe to this server
  2. Generate an OAuth2 access token from your Fitbit Developer Portal
  3. Start querying your health data from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Health Enthusiasts — analyze trends in sleep quality, heart rate variability, and activity levels naturally
  • Healthcare Professionals — access patient wearable data summaries for informed consultations
  • Developers — build health-aware AI agents that can reason about biometric data

Built-in capabilities (14)

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

Why VS Code Copilot?

GitHub Copilot Agent mode brings Fitbit data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 14 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

  • VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

  • Project-scoped MCP configs (.vscode/mcp.json) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

  • Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

  • GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

See it in action

Fitbit in VS Code Copilot

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Fitbit with Vinkius?

The Fitbit connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 14 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

View full Fitbit details →
Fitbit
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Fitbit using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Fitbit and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Fitbit to VS Code Copilot through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Fitbit for VS Code Copilot

Every request between VS Code Copilot and Fitbit is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

04

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

05

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

06

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.

07

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

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