"1&1" matching MCP servers:

Enables AI assistants to read and analyze athlete training data, including fitness summaries, activities, and profiles, to help plan training.

Provides read-only access to Nolio training data including planned workouts, completed sessions, metrics, records, and notes.

Enables building and uploading structured workouts to Garmin Connect using YAML or natural language, supporting running, cycling, and strength with zones and circuits.

A TypeScript server that acts as a bridge to the Strava API, enabling LLMs to access users' activities, routes, segments, and athlete data through natural language interaction.

Enables Claude Code to securely read your Garmin Connect health, training, and workout data through a local stdio server, with an optional allow-listed path for creating and scheduling workouts.

Enables querying your own Garmin Connect health, sleep, training, and activity data, and creating or scheduling workout plans through natural language conversation.

Enables LLM clients to query Xiaomi Mi Health friend/family sleep, heart rate, and step data via MCP.

Controls a KingSmith WalkingPad Z1 under-desk treadmill from a Mac over Bluetooth LE, with CLI and MCP server for status, start, stop, and speed control.

Enables LLM clients to access authorized Xiaomi Mi Fitness health data, including sleep, heart rate, and steps, through an MCP server deployed on Cloudflare Workers.

MCP server that exposes health metrics from the Sapphire Wellness App to AI assistants, enabling natural language queries for activity, blood pressure, glucose, heart rate, sleep, and SpO2 data.

Connect Pelaris to any MCP-compatible AI assistant for personalised fitness coaching. Plan training programs, log workouts, track benchmarks, manage goals, and get data-driven coaching insights. Supports science-based methodologies including 5/3/1, Pfitzinger, polarised training, and more. OAuth 2.0 authentication with Streamable HTTP transport. Documentation: https://pelaris.io/integrations Web

Exposes Garmin Connect health and activity data (steps, sleep, heart rate, etc.) via MCP tools, with built-in login and MFA support.

This MCP server provides read-only access to your local Garmin Connect history, enabling Claude to query workouts, sleep, training load, fitness scores, records, and gear via natural language. It uses a sync script to pull data into a local SQLite database, ensuring privacy and offline operation.