Retrieve daily activity summaries for steps, calories, active minutes, and distance from your Fitbit data. Use cached records by default or fetch live Fitbit API data for selected date ranges.
GPL 3.0
766,209 tools. Updated 2026-11-11 11:04
"Fitbit" matching MCP tools:
- Exchange a Fitbit OAuth authorization code for locally stored tokens. Tokens are secured with 0600 permissions and never returned, requiring a user-supplied code from browser OAuth.MIT
- Retrieve weight, BMI, and body fat percentage logs from Fitbit for any date range. Uses cached data by default, with an option to fetch live values directly from Fitbit.GPL 3.0
- Walk users through a personalized 3-step Fitbit connection setup, adapting to their current state. Use this first when the user asks how to connect Fitbit.MIT
- Revoke your Fitbit OAuth access and delete the local token file when you want to disconnect Fitbit. Requires explicit user intent to prevent autonomous revocation.MITDestructive
- List Fitbit activity logs with date filtering, pagination, and privacy modes. Retrieve activity records before or after a specified date to analyze your fitness data.MIT
Matching MCP Servers
- AlicenseAqualityFmaintenanceMCP server for the Fitbit Web API with OAuth PKCE, local cache, and trend analysis.1829 PyPI2GPL 3.0
- AlicenseBqualityBmaintenanceLocal-first MCP server that connects AI agents to your Fitbit activity, sleep, heart-rate, HRV, SpO2 and weight data.33352 npm5MIT
Matching MCP Connectors
Read Fitbit profile, activity, sleep, heart rate and device data.
Jitbit MCP server for ChatGPT, Claude and any AI agent: assign ticket, update ticket, close ticket, merge tickets, create ticket and list tickets in your own Jitbit account. Cotlet works in the account through your Cloud Browser, a real Chrome where you sign in to Jitbit yourself; Cotlet does not store your password and you need no Jitbit API key. About the official Jitbit API: Jitbit has a full REST API and an official MCP server built into every SaaS helpdesk (checked 22 Oct 2026). The MCP searches and reads tickets and KB articles and posts replies and internal notes. Setup and FAQ: https://cotlet.dev/integrations/jitbit-api-mcp-server
- Discover Fitbit data domains, required auth scopes, privacy boundaries, and recommended first calls. Know what the MCP server can access without exposing user data or invoking Fitbit APIs.MIT
- Review supported Fitbit data, privacy boundaries, and recommended agent workflows. Use this information to plan agent access and locate project links.MIT
- Preview realistic Fitbit daily summary, wellness context, and heart day payloads to understand the data contract before calling live APIs.MIT
- Obtain a Fitbit OAuth authorization URL to connect your account and access health data. Use this when no local token exists.MIT
- List devices connected to your Fitbit account. Use this to identify which trackers or smartwatches are linked and to attribute health data to the correct device.MIT
- Retrieve a detailed Fitbit activity log by ID. Choose privacy modes for summary, structured, or raw data.MIT
- Retrieve the raw JSON data of the user's Fitbit profile, including personal details and settings.MIT
- Get machine-readable install, runtime, and client guidance for connecting AI agents to Fitbit MCP without exposing secrets.MIT
- Retrieve Fitbit sleep logs using date filters, pagination, and privacy modes. Get structured sleep data for analysis or review.MIT
- Build a weekly Fitbit scorecard covering activity, sleep, heart rate, and HRV, with bottlenecks and suggested actions for non-medical use.MIT
- Retrieves the Google Health identity mapping for the authenticated user, supporting Fitbit-to-Google Health migrations.MIT
- Build a practical daily summary from Fitbit activity, sleep, heart-rate, HRV, and weight data. Provides a read-only, non-medical overview for training context.MIT
- Check local Fitbit configuration, token file, Node version, privacy mode, and cache readiness to verify MCP client connectivity without contacting Fitbit or exposing secrets.MIT
- Normalizes Fitbit sleep and activity load into a shared wellness context shape for recommendation engines.MIT
- Retrieve the authenticated Fitbit user's profile, including personal details and preferences, to enable tailored health insights.MIT