A CLI to connect your health data to AI agents

I use my agent to give me a morning rundown of yesterday's performance and sleep. Just made it easier to do with a health-data MCP server, and just shipped a CLI for it. It is open source (MIT) and lets you, or a headless agent, sign in, connect wearables, and query your health data from the terminal without hand-rolling the OAuth device flow, token refresh, or any MCP plumbing. npm i -g /cli freddy login # device-flow sign-in, tokens in ~/.freddy (0600) freddy connect oura # prints a URL to link a wearable freddy providers # list connectable wearables freddy query --metrics hrv,sleep_duration --days 7 freddy metrics # what you can query freddy profile | freddy status freddy sync oura | freddy disconnect oura Every command takes `--json`, so an agent can shell out and parse the output directly. Access tokens last an hour and refresh automatically, so a long-running agent just keeps working. It reads sleep, HRV, resting HR, recovery, training load, workouts, body composition and more. Connectable today for everyone: Polar, Oura, Withings, Suunto, Intervals.icu, Concept2, Wahoo, Hevy. In beta: WHOOP, Garmin, Dexcom, Strava, Ultrahuman. The CLI is just a wrapper over freddy's MCP server, so the same data is reachable from any MCP client (Claude, ChatGPT and the rest); the CLI is for terminals and agents that prefer to shell out. You can find it at freddy.coach, and the package is freddy-coach/cli on npm.