Arvo MCP Server

Official MCP server for Arvo - AI workout coach. Access your training data through Claude Desktop, Cursor, and other MCP clients.

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What is the Arvo MCP MCP server?

Official MCP server for Arvo - AI workout coach. Access your training data through Claude Desktop, Cursor, and other MCP clients. That is what the arvo mcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

Perfect for fitness enthusiasts who want to: - 🏋️ Ask "What's my workout today?" and get your personalized training plan - 📊 Track gym progress with AI-powered insights - 💪 Monitor PRs, volume, and muscle group distribution - 📈 Analyze body composition trends over time

MCP is an open protocol that enables AI assistants like Claude to securely access external data sources. arvo-mcp lets Claude access your workout data, training history, and fitness metrics through natural conversation.

  • 29 fitness tools — - Profile, workouts, splits, PRs, body progress, and more
  • Read & Write access — - View your data and make changes through natural conversation
  • Secure API key authentication — - Your data stays private
  • Works with any MCP client — - Claude Desktop, Cursor, Windsurf, and more

The tools it exposes

The server publishes 14 tools. What each one is for:

  • get_user_profile — Get your fitness profile, experience level, and preferences
  • get_active_split — Get your current training split and schedule
  • get_recent_workouts — View your most recent completed workouts
  • get_workout_for_day — Get the workout for any cycle day
  • get_workout_stats — Get aggregated training statistics
  • get_active_insights — View AI-generated training insights
  • get_personal_records — See your PRs for each exercise
  • get_exercise_progress — Track progression for specific exercises
  • get_exercise_video — Get demonstration videos for exercises
  • get_volume_by_muscle — View volume distribution by muscle group
  • get_coach_info — Get your coach's information
  • get_coach_notes — View notes from your coach

What it needs from you

Configuration is passed through the environment: ARVO_API_KEY, ARVO_BASE_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Getting it running

The server ships on npm as arvo-mcp, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

How it compares

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Arvo MCP's toolset — get_user_profile, get_active_split, get_recent_workouts and 11 more — is a fair guide to whether it matches your workflow. It is maintained by khaoss85; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Arvo MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • With 14 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Arvo MCP.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
get_user_profileGet your fitness profile, experience level, and preferences
get_active_splitGet your current training split and schedule
get_recent_workoutsView your most recent completed workouts
get_workout_for_dayGet the workout for any cycle day
get_workout_statsGet aggregated training statistics
get_active_insightsView AI-generated training insights
get_personal_recordsSee your PRs for each exercise
get_exercise_progressTrack progression for specific exercises
get_exercise_videoGet demonstration videos for exercises
get_volume_by_muscleView volume distribution by muscle group
get_coach_infoGet your coach's information
get_coach_notesView notes from your coach
get_approach_detailsLearn about your training methodology
get_body_progressTrack body composition changes

How to install the Arvo MCP MCP server

{
  "mcpServers": {
    "arvo": {
      "command": "npx",
      "args": ["-y", "arvo-mcp"],
      "env": {
        "ARVO_API_KEY": "arvo_your_api_key_here"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
ARVO_API_KEYCredential the server authenticates with.Yes
ARVO_BASE_URLEndpoint or connection string the server talks to.Yes

Example prompts to try

  • Use Arvo MCP to get user profile.
  • Use Arvo MCP to get active split.
  • Use Arvo MCP to get recent workouts.

Frequently asked questions

It connects Arvo MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 14 tools (get_user_profile, get_active_split, get_recent_workouts, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Arvo MCP directly.