Freddy CLI: Connect Health Data to AI Agents via MCP
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 wearableKey Commands
freddy providers— list connectable wearablesfreddy metrics— what you can queryfreddy query --metrics hrv,sleep_duration --days 7— get datafreddy profile | freddy status— check connectionfreddy sync oura— force sync for a wearablefreddy disconnect oura— remove device
Every command accepts --json for agent-friendly parsing. Access tokens last an hour and refresh automatically for long-running agents.
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
👀 See Also
Zerro: Point at Your Live App, Speak, and Watch Claude Code Edit It Instantly
Zerro is a Mac app that lets you point your cursor at a running app, describe a change aloud, and have Claude Code edit the real files live. It captures motion, resolves which element you mean, and checkpoints before each run.
Open Source SQLite-Based Persistent Memory System for Claude
A developer has released memchat, a GPL-licensed local system that extracts knowledge from Claude sessions at checkpoints, stores it in SQLite, and reassembles it for new sessions to maintain context across conversations.
Solo Dev Uses Claude + Blender MCP to Create App Store Video in 90 Minutes
Reddit user Positive_Camel2086 details how they used Claude with the Blender MCP server to generate a 10-second vertical launch video, automating camera rigging, materials, fog, and particle systems via conversational prompts.
OpenClaw Guild: Multi-user AI agent server for teams
OpenClaw Guild extends single-user OpenClaw into a multi-user AI server with role-based access control, isolated data per agent, and a 4-tier memory system. It includes a web admin dashboard and Docker-compose deployment for 15-minute setup.