
Deploy hevy-mcp-server
AI agents connect to Hevy workout tracking and history.
hevy-mcp-server
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Deploy and Host hevy-mcp-server on Railway
hevy-mcp-server is an MCP (Model Context Protocol) server that connects AI agents to the Hevy workout tracking API. It exposes your workout history, exercises, and routines as tools that any MCP-compatible client can call — letting agents analyze your training data, log workouts, and track progress.
About Hosting hevy-mcp-server
Deploying hevy-mcp-server requires a running server that can handle SSE (Server-Sent Events) connections from MCP clients. The server authenticates with the Hevy API using your API key, then exposes tools for reading workouts, exercises, and routines. Railway handles the hosting, SSL termination, and persistent uptime so your agents can connect at any time. No database required — the server proxies requests directly to Hevy's API.
Common Use Cases
- Connect AI agents to your workout history for training analysis and recommendations
- Let agents log workouts and track progress over time via natural language
- Build automated fitness dashboards or weekly training summaries
Dependencies for hevy-mcp-server Hosting
- Node.js runtime
- Hevy API key (from your Hevy account settings)
Deployment Dependencies
Why Deploy hevy-mcp-server on Railway?
Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it. By deploying hevy-mcp-server on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.
Template Content
hevy-mcp-server
meimakes/hevy-mcp-server