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DimensionHevy MCPManage your Hevy workout data from AI assistants via MCP.Exa MCP ServerExa's official MCP server for web search and crawling built for AI applications
FMRS77 / 100 · B73 / 100 · B
Reliability12 / 2012 / 20
Security and permissions16 / 2013 / 20
Maintenance16 / 2016 / 20
Documentation18 / 2016 / 20
Setup experience15 / 2016 / 20
Best for
  • Hevy PRO users who want AI assistants to directly access their workout data
  • People who prefer using MCP clients like Claude, Cursor, Codex for fitness tracking
  • Anyone needing summaries and insights from their training data
  • Q&A and research scenarios that need real-time, clean web content
  • Users with an existing Exa account who want a zero-deployment remote option
Not for
  • Users without a Hevy PRO subscription (API key required)
  • Users who want to use the server without an API key
  • Those needing delete workflows (Hevy API does not expose delete endpoints)
  • Scenarios requiring a strict allowlist of search sources that can't use a third-party search service
  • Budget-sensitive, high-volume search scenarios (remote/API calls may incur cost)
Required permissions
  • Requires HEVY_API_KEY environment variable for Hevy API authentication
  • Can create, update, and replace workouts, routines, folders, templates, and body measurements via tools
  • Read operations can fetch workouts, routines, folders, templates, history, and user info
  • Requires an Exa API key for full functionality; OAuth login is optional in remote mode
  • web_fetch_exa retrieves content from a specified URL; agent_run performs multi-step autonomous actions and needs the user to have clear expectations of Agent behavior
Risks and side effects
  • API key can be misused if leaked; do not expose in URLs, logs, or screenshots
  • Create operations may produce duplicates on retry; update operations replace existing records
  • The server sends data to the Hevy API and may send telemetry to external services unless disabled
  • The API key should be stored carefully — avoid leaving it in plaintext in client config files on untrusted machines
  • agent_run is a multi-step autonomous tool with a longer action chain — try it on low-risk tasks first
Supported clientsClaude Desktop, Cursor, Codex, AntigravityClaude Desktop, Claude Code, VS Code, Cursor, Windsurf, Zed, Amp, Kiro, LM Studio, Antigravity
Tools264