"Bitbucket pull request reviewer information" matching MCP servers:

Enables an LLM to search a movement library, log single-movement and multi-movement workout results, and pull complete logged training history plus PR trends for Beyond the Whiteboard straight from a chat. All logged entries are posted privately, and session authentication can refresh automatically.

Enables AI agents to interact with the Strava API to retrieve athlete statistics and activity data. It provides tools for listing recent activities and fetching detailed information for specific workout sessions.

An MCP server that enables interaction with the Strava API v3 to manage fitness activities, athlete profiles, segments, and routes. It supports retrieving detailed performance metrics, exploring geographic data, and managing club information through natural language.

Trainzilla MCP connects Claude to your Trainzilla coach account, turning your client roster, programming, and habit tracking into something you can manage conversationally. Built for fitness coaches running their practice on Trainzilla, it lets Claude pull up client profiles and metrics, build and review workout and diet plans, create and assign habits, run quick calculations (TDEE, macros, 1RM),

Enables analysis and retrieval of JEFit workout data through natural language. Provides access to workout dates, detailed exercise information, and batch workout analysis for fitness tracking and progress monitoring.

A local, read-only Model Context Protocol server for an athlete's Strava profile and activities, enabling retrieval of profile data, activity lists (with paging and date filters), and detailed activity information via standard input/output for MCP hosts.

Provides access to Oura Ring health data including sleep, readiness, and resilience metrics through the Oura API, enabling language models to query and analyze personal health information.

Enables connecting your own Google Health account to an MCP client through local OAuth, exposing 17 read-only tools for metric discovery, daily and recent summaries, trends, sleep, activity, recovery, body metrics and data quality. All access is observation-only, with request bounds and no create, update or delete capabilities.

Connects Claude Desktop to Garmin Connect, enabling natural language queries of fitness activity data, health metrics, sleep analysis, workout management, and device information with 94 available tools.

Enables users to search and retrieve fitness exercise information from the Api Ninjas database. It supports filtering by exercise name, target muscle, type, and difficulty level.

Enables AI assistants to access Garmin Connect fitness and health data, including activities, heart rate, sleep, and device information.

An MCP server specialized in managing and querying gym exercises through a centralized database. It enables users to search for workouts by name or muscle group and retrieve detailed information including sets, repetitions, and rest intervals.

Enables AI clients to create and manage multi-week running training plans, track workouts and activities, and pull calendar or CSV exports through the app's API. Supports plan generation with configurable goals, mileage, schedule, and intensity, plus updating workout status and recording completed runs.

Exposes wellness data such as sleep, activity, heart rate, and stress as MCP tools so AI agents can retrieve current vitals, pull historical records, and analyze trends. Supports simulated physiology along with Fitbit and planned Apple Health providers.

Provides access to the Intervals.icu API for interacting with training data, activities, events, and wellness information.

Enables creation, management, and scheduling of Garmin Connect workouts from natural language descriptions, plus viewing activities, calendar data, and weather information from completed workouts.

Enables MCP clients to access Zepp/Amazfit health and fitness data such as steps, sleep, heart rate, workouts, and user profile information via tools.

Enables AI assistants to access Strava running data, route planning, and weather information for intelligent running coaching.

Enables AI assistants to query a user's Huawei Health data read-only, covering workouts and detailed activity metrics, sleep, resting heart rate, HRV, athletic performance and personal bests. Tokens are passed per request in HTTP headers, so no credentials are stored and multiple users can be served from one stateless instance.

Gives Claude and ChatGPT read-only access to locally stored Garmin running and health data, so users can ask about recovery status, individual runs, best efforts, sleep and long-term trends, pull computed weekly reports, or run read-only SQL for anything else. It also triggers an on-demand sync so the answers reflect the latest data.