MyWhoosh MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MyWhoosh MCP ServerCreate a 30-minute interval workout"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MyWhoosh MCP Server

A Model Context Protocol (MCP) server for MyWhoosh that allows you to access the MyWhoosh API directly from your AI provider (like Cursor, Claude Desktop, etc.). Create workouts, manage training sessions, schedule tasks, and more - all through natural language.
Installation
1. Clone the repository
git clone https://github.com/mywhoosh-community/mywhoosh-mcp-server.git
cd mywhoosh-mcp-server2. Install dependencies
npm install3. Build the project
npm run build4. Configure the MCP server
Add the following configuration to your AI provider (e.g., in Cursor under MCP Settings):
{
"mcpServers": {
"mywhoosh-mcp-server": {
"command": "node",
"args": ["PATH_TO_PROJECT\\build\\index.js"],
"env": {
"MYWHOOSH_USERNAME": "${input:mywhoosh-username}",
"MYWHOOSH_PASSWORD": "${input:mywhoosh-password}"
}
}
},
"inputs": [
{
"id": "mywhoosh-username",
"type": "promptString",
"description": "Enter your MyWhoosh username"
},
{
"id": "mywhoosh-password",
"type": "promptString",
"description": "Enter your MyWhoosh password",
"password": true
}
]
}Important: Replace PATH_TO_PROJECT with the absolute path to your cloned repository (e.g., C:\\Users\\admin\\Desktop\\mywhoosh-mcp-server on Windows or /home/user/mywhoosh-mcp-server on Linux/Mac).
Configuration in different AI providers
Cursor
Open the Command Palette (
Ctrl+Shift+P/Cmd+Shift+P)Search for "MCP: Edit Configuration"
Paste the configuration above
Claude Desktop
Edit the configuration file:
Windows:
%APPDATA%\Claude\claude_desktop_config.jsonmacOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonLinux:
~/.config/Claude/claude_desktop_config.json
Related MCP server: Strava MCP Server
Usage
After installation, you can use the MCP server directly in your AI provider. Examples:
"Create a 30-minute interval workout"
"Show me my scheduled training sessions"
"Change my MyWhoosh settings"
License
ISC License - see LICENSE file for details.
Support
For issues or questions, please create an Issue on GitHub.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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