Hevy Fitness
Integrates with the Hevy Fitness API to enable workout tracking, routine management, exercise template searching, and webhook noti
This MCP server provides AI assistants with direct access to the Hevy Fitness API for comprehensive workout and routine management through 15 specialized tools covering workouts, routines, exercise templates, routine folders, and webhook subscriptions. Built using TypeScript with Kubb-generated API clients from OpenAPI specifications, Zod validation, and comprehensive error handling, it offers tools for retrieving paginated workout lists, creating and updating workouts with exercises and sets, managing routine libraries with folder organization, searching exercise templates by muscle groups, and setting up webhook notifications for workout events. The implementation features automatic API client generation ensuring type safety, response formatting with proper error propagation, and supports both data retrieval and modification operations, making it valuable for fitness tracking workflows, workout analysis, and building AI assistants that need programmatic access to Hevy's fitness data without manual app interaction.
Source
Repository: https://github.com/chrisdoc/hevy-mcp
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