Arvo MCP Server
Connects AI assistants to Arvo fitness coach for tracking workouts, PRs, body progress, and training splits through natural conversation.
README
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
- Sign up or log in at arvo.guru
- Go to Settings → API Keys
- 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 security@arvo.guru 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.
<p align="center"> <strong>🏋️ Track your gym workouts with AI</strong><br> <a href="https://arvo.guru">Get started with Arvo →</a> </p>
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。