Hevy Fitness
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/chrisdoc/hevy-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Hevy Fitness from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.