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118,049 servers. Updated
20 Best Social Media MCP Servers: compared and ranked, November 2026Ranked from 1,954 matching servers on stars, growth, downloads and maintenance. Updated .

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    Enables users to describe workouts in plain English and have them created as structured Garmin Connect workouts with pace, HR, power, cadence targets, and repeat blocks. Also provides full workout lifecycle management including listing, updating, deleting, and scheduling to the calendar.
    8
    72 npm
    MIT
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    Enables creating, previewing, scheduling, and managing Garmin Connect workouts, plus reading activities and health metrics, all through a local MCP server.
    11
    MIT
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    Enables MCP clients to read Garmin training and health data and manage structured workouts on a Garmin account, including creating, updating, scheduling, and deleting them.
    14
    MIT
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    Enables AI assistants to read, log, edit, and analyze workouts, routines, body weight, media, and personal records on a self-hosted openGym instance through its own HTTP API. Writes are scoped to requested changes with automatic backups and conflict detection, and tools are grouped into read, write, delete, and admin permission tiers.
    74
    13 npm
    1
    AGPL 3.0
  • F
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    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.
    25
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    MCP server for integrating with the EVO gym management API, enabling access control, member management, activity scheduling, sales, and workout management through natural language.
    12
    MIT
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    Enables querying your own Garmin Connect health, sleep, training, and activity data, and creating or scheduling workout plans through natural language conversation.
    35
    MIT
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    Bridges the official COROS (高驰) MCP endpoint into DeepSeek Harness or any MCP client, exposing 34 tools covering sleep, HRV, resting heart rate, recovery, training load, activities and FIT files, plus workout and training-plan creation and scheduling. It handles OAuth login, rotation-safe token refresh and MCP schema inlining locally, so users can query and manage their COROS training data through natural language with no external CLI or runtime dependencies.
    MIT
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    Connects to Garmin Connect and exposes fitness and health data to MCP-compatible clients, enabling activity management, health metrics, training and performance analytics, workout creation/scheduling, gear, nutrition, and related data access.
    MIT
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    A Model Context Protocol server that enables language models to interact with Strava data, including activities, athlete statistics, routes, achievements, and social features.
    6
    MIT
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    A universal fitness intelligence layer for AI assistants like Claude, ChatGPT, and Copilot, enabling user profiles, workout/diet plans, calendar scheduling, and gamification via MCP and REST APIs.
    9,204 npm
    MIT
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    Enables AI assistants and native clients to manage training plans, workout history, reusable recipes, meal records, and media through validated, versioned MCP and REST operations. It stores and validates structured fitness and nutrition data, including nutrition calculation, food catalog lookup, and Apple Health export status.
    MIT
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    Enables AI assistants and MCP clients to read and write Garmin China health, activity, and training data, including creating, scheduling, and pushing workouts to paired devices.
    2
    MIT
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    A remote MCP server that lets LLM clients read and change training data in a self-hosted openGym instance over HTTPS using the user's own openGym token. It covers routines, weekly scheduling, workout logging and editing, body weight and goals, plus custom exercises and plan imports, with conflict-safe conditional writes.
    AGPL 3.0
  • F
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    Connects AI assistants to any TrainingPeaks account via secure cookie authentication (no API approval needed) to query workouts, fitness trends (CTL/ATL/TSB), power PRs, health metrics, equipment, events and training plans through natural language. Also enables creating and scheduling structured interval, strength and library workouts, updating zones and FTP, and managing calendars and athlete groups.
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    Connects Claude and other AI assistants to a TrainingPeaks account through secure cookie authentication that requires no API approval, enabling users to query and analyze workouts, fitness trends (CTL/ATL/TSB), power and running PRs, health metrics, and equipment via natural language. It also supports building structured interval and strength sessions, scheduling workouts and plans, managing races, calendar notes, and athlete groups, and updating thresholds and zones.
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  • F
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    A locally-run MCP server that lets AI assistants query running, training, and health records in Chinese — activity and period stats, training status, sleep and heart-rate data, gear mileage, calendar, and server-generated charts. Access is read-only, credentials are never stored, and optional write tools for building and scheduling workouts are off by default.
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