How do I obtain an API key for Hevy?
Visit the [Hevy API Documentation](https://api.hevyapp.com/docs/#/) and follow the authentication instructions. You need to sign up for API access through the Hevy developer portal.
@VReippainen
基本信息
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使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"hevy-mcp-server": {
"command": "npx",
"args": [
"-y",
"@vreippainen/hevy-mcp-server",
"--stdio"
],
"env": {
"HEVY_API_KEY": ""
}
}
}
}Get workouts between start and end dates. Returns all workouts if no dates are provided. Returns workouts in descending order of date and limits the number of workouts returned. Max 10 workouts. Example: { "limit": 5, // Optional: Number of workouts (1-10, default: 10) "startDate": "2024-01-01T00:00:00Z", // Optional: Filter workouts after this date "endDate": "2024-03-20T23:59:59Z" // Optional: Filter workouts before this date }
Get progress history for specific exercises between start and end dates. Returns exercise data including weights, reps, and sets for each workout. Results are ordered by date descending. Useful for tracking progress over time for particular exercises. Example: { "exerciseIds": ["bench-press-123", "squat-456"], // Required: Array of exercise IDs "limit": 5, // Optional: Number of workouts (0-10, default: 10) "startDate": "2024-01-01T00:00:00Z", // Optional: Filter after this date "endDate": "2024-03-20T23:59:59Z" // Optional: Filter before this date }
Get comprehensive exercise data including frequency of use, categorization, and metadata. Results are sorted by usage frequency. Supports filtering by name search and date range. Example: { "searchTerm": "bench press", // Optional: Filter exercises by name "excludeUnused": true, // Optional: Skip never-performed exercises (default: true) "startDate": "2024-01-01T00:00:00Z", // Optional: Consider usage after this date "endDate": "2024-03-20T23:59:59Z" // Optional: Consider usage before this date }
Get user's saved workout routines. Returns all custom and preset routines with their full exercise details, including sets, reps, and rest periods. Example: {} // No parameters required
Hevy MCP Server is a TypeScript Node.js server that connects your Hevy workout data to language models via the Model Context Protocol (MCP). It fetches data from the Hevy API and provides tools for accessing workout history, exercise progress, and personal records, enabling AI assistants to analyze your workout data.
Install and invoke by adding a configuration to your ~/.cursor/mcp.json file using npx and setting the HEVY_API_KEY environment variable. Then use the provided tools (e.g., get-workouts, get-exercises) through an MCP‑compatible client.
Visit the [Hevy API Documentation](https://api.hevyapp.com/docs/#/) and follow the authentication instructions. You need to sign up for API access through the Hevy developer portal.
The server provides four tools: `get-workouts`, `get-exercise-progress-by-ids`, `get-exercises`, and `get-routines`.
Yes, `get-workouts` returns a maximum of 10 workouts per call.
The `HEVY_API_KEY` environment variable must be set to your Hevy API key.
Update `~/.cursor/mcp.json` with the command `npx -y @vreippainen/hevy-mcp-server --stdio` and the `HEVY_API_KEY` environment variable.
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