Command Palette

Search for a command to run...

UnylyUnyly
Весь каталог

MyWhoosh Server

БесплатноНе проверен

Enables seamless interaction with MyWhoosh API for managing workouts, training sessions, and settings via natural language.

GitHubEmbed

Описание

Enables seamless interaction with MyWhoosh API for managing workouts, training sessions, and settings via natural language.

README

GitHub stars GitHub forks License Version

MyWhoosh Logo

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-server

2. Install dependencies

npm install

3. Build the project

npm run build

4. 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

  1. Open the Command Palette (Ctrl+Shift+P / Cmd+Shift+P)
  2. Search for "MCP: Edit Configuration"
  3. Paste the configuration above

Claude Desktop

Edit the configuration file:

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

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.

from github.com/mywhoosh-community/mywhoosh-mcp-server

Установка MyWhoosh Server

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/mywhoosh-community/mywhoosh-mcp-server

FAQ

MyWhoosh Server MCP бесплатный?

Да, MyWhoosh Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для MyWhoosh Server?

Нет, MyWhoosh Server работает без API-ключей и переменных окружения.

MyWhoosh Server — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить MyWhoosh Server в Claude Desktop, Claude Code или Cursor?

Открой MyWhoosh Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

Похожие MCP

Compare MyWhoosh Server with

Не уверен что выбрать?

Найди свой стек за 60 секунд

Автор?

Embed-бейдж для README

Похожее

Все в категории development