Arvo MCP Server - Fitness & Workout Tracker for Claude

Fitness tracking MCP server - Log gym sessions, track personal records (PRs), analyze body progress, and manage training splits through Claude Desktop, Cursor, and other MCP clients.

arvo-mcp is a Model Context Protocol (MCP) server that connects your AI assistant to Arvo, an AI-powered fitness coach. Access your workout history, personal records, body composition, and training plans directly from Claude Desktop, Cursor, or any MCP-compatible client.

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

Features

• 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

Quick Start

1. Get your API key

1. Sign up or log in at arvo.guru
2. Go to Settings → API Keys
3. Click Create Key and copy your API key

2. Configure your MCP client

Claude Desktop

Add to your claude_desktop_config.json:

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

Config file location:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

Cursor

Add to your Cursor MCP settings:

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

3. Start chatting!

After restarting your AI client, try asking:

• "What's my workout for today?"
• "Show me my recent PRs"
• "How's my progress on bench press?"
• "What muscle groups am I training this week?"

Available Tools

Read-Only Tools (19)

Tool	Description
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
get_approach_details	Learn about your training methodology
get_body_progress	Track body composition changes
get_cycle_history	View training cycle history
get_booking_info	See your PT session bookings
get_ai_memory	Access saved AI context about you
get_caloric_history	View caloric phase history
get_approach_history	See methodology changes over time

Write Tools (10)

Tool	Description
save_memory	Save notes for the AI to remember
update_caloric_phase	Change your current bulk/cut/maintain phase
update_weak_points	Update priority muscle groups
report_physical_issue	Log pain or injuries
skip_exercise	Skip an exercise in today's workout
generate_workout	Generate a new workout
update_equipment	Update your available equipment
add_exercise	Add an exercise to your workout
swap_exercise	Request exercise alternatives
apply_swap	Apply an exercise swap

Security

• Your API key is stored locally and never sent to third parties
• All communication uses HTTPS
• API keys can be revoked anytime from your Arvo dashboard
• Each key has configurable scopes (read/write)

For security vulnerability reports, see SECURITY.md.

FAQ

What is the Model Context Protocol (MCP)?

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.

How is my data protected?

• API keys are hashed with SHA-256 (never stored in plaintext)
• All communication uses HTTPS encryption
• Keys can be revoked instantly from your dashboard
• Scoped permissions (read-only or read-write)
• Your API key is stored only on your local machine

Can I use this offline?

No, arvo-mcp requires an internet connection to communicate with arvo.guru servers. The MCP server runs locally but fetches your data from the cloud.

What AI clients are supported?

Claude Desktop, Cursor, Windsurf, and any MCP-compatible client. The server uses the standard MCP stdio transport, making it compatible with any client that supports the protocol.

How do I report security issues?

Email [email protected] with details. See SECURITY.md for our full security policy and responsible disclosure process.

What data can the AI access?

The AI can access your workout plans, exercise history, personal records, body composition tracking, and coach notes. Write tools allow saving memories, updating preferences, and modifying workouts. You control access through API key scopes.

Does this work without an Arvo account?

No, you need an Arvo account to generate an API key. Sign up free at arvo.guru.

How do I update to a new version?

If you use npx -y arvo-mcp, it automatically fetches the latest version. For global installations, run npm update -g arvo-mcp.

Environment Variables

Variable	Required	Description
ARVO_API_KEY	Yes	Your Arvo API key
ARVO_BASE_URL	No	API base URL (default: https://arvo.guru)

Requirements

• Node.js 18+
• An Arvo account (sign up free)

Links

• Arvo - AI Personal Trainer: arvo.guru
• Documentation: arvo.guru/docs
• Report Issues: GitHub Issues
• MCP Protocol: modelcontextprotocol.io
• npm Package: npmjs.com/package/arvo-mcp

Related

Looking for fitness tracking with AI? Check out:

• Arvo - AI workout coach that creates personalized training programs
• Model Context Protocol - The open protocol powering this integration

License

MIT - see LICENSE for details.

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