Arvo
π βοΈ - AI workout coach MCP server for Arvo. Access training data, workout history, personal records, body progress, and 29 fitness tools through Claude Desktop.
What is Arvo?
Arvo is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to π βοΈ - ai workout coach mcp server for arvo. access training data, workout history, personal records, body progress, and 29 fitness tools through claude desktop.
π βοΈ - AI workout coach MCP server for Arvo. Access training data, workout history, personal records, body progress, and 29 fitness tools through Claude Desktop.
This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- π βοΈ - AI workout coach MCP server for Arvo. Access training
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx khaoss85-arvoConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Arvo
What is Arvo?
Arvo is a Model Context Protocol (MCP) server that π βοΈ - ai workout coach mcp server for arvo. access training data, workout history, personal records, body progress, and 29 fitness tools through claude desktop. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Arvo?
Follow the installation instructions on the Arvo GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Arvo?
Arvo works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Arvo free to use?
Yes, Arvo is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Analytics MCP Servers
Explore all analytics servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Arvo in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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