Tools

Freddy CLI: Connect Health Data to AI Agents via MCP

✍️ OpenClawRadar📅 Published: June 18, 2026🔗 Source
Freddy CLI: Connect Health Data to AI Agents via MCP
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Freddy Coach shipped a CLI tool that connects wearable health data to AI agents via the Model Context Protocol (MCP). It's open source (MIT) and handles the OAuth device flow, token refresh, and MCP plumbing so you don't have to roll your own.

Installation and Setup

npm i -g freddy-coach/cli
freddy login  # device-flow sign-in, tokens in ~/.freddy (0600)
freddy connect oura  # prints a URL to link a wearable

Key Commands

  • freddy providers — list connectable wearables
  • freddy metrics — what you can query
  • freddy query --metrics hrv,sleep_duration --days 7 — get data
  • freddy profile | freddy status — check connection
  • freddy sync oura — force sync for a wearable
  • freddy disconnect oura — remove device

Every command accepts --json for agent-friendly parsing. Access tokens last an hour and refresh automatically for long-running agents.

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Supported Data and Devices

The CLI reads sleep, HRV, resting HR, recovery, training load, workouts, body composition, and more. Currently available: Polar, Oura, Withings, Suunto, Intervals.icu, Concept2, Wahoo, Hevy. In beta: WHOOP, Garmin, Dexcom, Strava, Ultrahuman.

MCP Server Under the Hood

The CLI wraps the Freddy MCP server. The same data is accessible from any MCP client (Claude, ChatGPT, etc.) — the CLI is just for terminals and agents that prefer shell commands.

Find it at freddy.coach or npm as freddy-coach/cli.

📖 Read the full source: r/openclaw

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👀 See Also

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