"A tool for using Claude to edit locally stored code" matching MCP servers:

Exposes a single tool for Claude to fetch recent Strava activities, including detailed metrics and lap breakdowns, for automatic training summaries.

MCP server that connects Garmin Connect data to Claude, enabling training analysis, recovery checks, and personalized plans based on real metrics like HRV, training load, and activities.

Lets Claude read a runner's recent activities and wellness signals — sleep, HRV, resting heart rate — and then design, schedule, edit, or delete structured workouts. Planned sessions are written to an intervals.icu calendar that syncs through Garmin Connect onto the user's watch, without exposing Garmin credentials.

Enables Claude to read recent Garmin training and wellness data via intervals.icu and to create, update, or delete structured workouts that sync to Garmin Connect and a Garmin watch.

Lets Claude read your recent Garmin activities and wellness data through intervals.icu, then design, create, update, or delete structured workouts that sync to your watch. Read tools cover training history, sleep, HRV, and upcoming calendar events.

Lets Claude read recent Garmin training activities and wellness signals such as sleep, HRV, and resting heart rate, then design and push structured workouts onto the user's calendar for syncing to their watch. Workouts can also be listed, edited, and deleted through natural language.

Enables Claude to read recent training activities and wellness data, then create, update, or delete structured workouts through intervals.icu so they sync to Garmin Connect and a watch.

Enables Claude to read Garmin activities and wellness data, then creates structured workouts that sync to your Garmin watch via Intervals.icu.

Enables Claude to read recent Garmin training and wellness data and to create, update, or delete structured workouts through intervals.icu so they sync to Garmin Connect and a user's watch.

Enables AI agents like Claude Desktop, Cursor, and VS Code to connect directly to COLMI R02/R03 and compatible smart rings over local Bluetooth LE, exposing tools for ring scanning, battery and firmware status, activity and sleep/recovery insights, real-time heart rate and SpO2 vitals, 3-axis motion sampling, clock sync, and physical LED blinking. Runs fully locally with no vendor cloud, accounts, or subscriptions.

Enables Claude to act as a personal health coach by connecting to Garmin wearable data and Notion workspace for automated calorie tracking, photo food logging, and coaching insights.

Connects WHOOP fitness data to Poke AI assistant, enabling natural language queries for recovery scores, sleep analysis, strain tracking, and healthspan metrics.

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

Exposes over 90 Garmin Connect tools for tracking activities, health metrics, and training data through the Model Context Protocol. It is optimized for Poke compatibility and supports deployment to Render via HTTP.

Enables access to WHOOP fitness and health data through all WHOOP v2 API endpoints. Supports OAuth 2.0 authentication and provides comprehensive access to user profiles, physiological cycles, recovery metrics, sleep analysis, and workout data.

Enables AI assistants like Claude to read a single user's own Strava account through its API: profile and totals, activities with laps, splits, zones and per-second streams, plus segments, routes, gear and clubs. It is strictly read-only, using the user's own Strava API application and OAuth tokens stored locally, and returns model-friendly, context-sized data.

MCP server that connects Claude to the Hevy fitness app, enabling AI-driven personalized strength coaching by reading lifting history and programming workouts.

Enables workout tracking and coaching within Claude conversations, managing exercise configs, logs, streaks, and health metrics via an MCP server with PostgreSQL.

Connects Claude Desktop to your Garmin Connect running data stored locally in SQLite, enabling querying, syncing, and AI analysis of fitness activities.

Enables AI agents to query locally stored Samsung Health data—such as heart rate, sleep, steps, and workouts—through MCP tools for samples, daily summaries, and trend analysis while keeping everything on your own network.