Fitbit MCP Server for VS Code Copilot 14 tools — connect in under 2 minutes
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
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{
"mcpServers": {
"fitbit": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
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.
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 VS Code Copilot 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 VS Code Copilot via MCP
Follow these steps to integrate the Fitbit MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using Fitbit
Ask Copilot: "Using Fitbit, help me...". 14 tools available
Why Use VS Code Copilot with the Fitbit MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Fitbit through the Model Context Protocol.
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
Fitbit + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Fitbit MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
Fitbit MCP Tools for VS Code Copilot (14)
These 14 tools become available when you connect Fitbit to VS Code Copilot 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 VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot
Common issues when connecting Fitbit to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Fitbit + VS Code Copilot FAQ
Common questions about integrating Fitbit MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.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.Connect Fitbit with your favorite client
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Connect Fitbit to VS Code Copilot
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.
