Freddy MCP Server Connects Wearables to AI Agents with Headless Sign-In
Freddy is an MCP server that connects wearables and health platforms to any AI client supporting the MCP protocol. It now supports headless sign-in, letting autonomous agents (Claude Code, OpenClaw, Cowork, Cursor, custom agents) perform account actions on a schedule: connect a wearable, trigger a sync, read the audit log, manage subscription.
Supported Devices & Clients
- Wearables/Platforms: Polar, Oura, Withings, Suunto, Intervals.icu, Hevy (plus WHOOP, Strava, Dexcom in beta)
- AI Clients: Claude Desktop, Claude.ai, ChatGPT, Notion AI, Perplexity, Claude Code, OpenClaw, Cowork, Cursor — any client that speaks MCP
Headless Sign-In for Scheduled Workflows
Previously only interactive sign-in via OAuth was possible. Now agents can authenticate headlessly, enabling fully automated recurring tasks like:
- Morning briefing pushed to Telegram
- Daily summary written into Notion
- Monthly reports on training load, recovery, and sleep trends, sent wherever you read
The operator reports running these workflows with his personal agent, which already knows his baseline and goals and can act without starting from scratch each time.
Privacy & Data Handling
Health data is encrypted. The operator states he does not sell data and is not looking to profit from user stats. The server is run by the same person behind fitIQ, with years of handling sensitive health data.
Site: https://freddy.coach/
📖 Read the full source: r/ClaudeAI
👀 See Also
Atelier v0.3 adds targeted markdown revisions with Claude Code
Atelier v0.3 is a free VS Code extension that lets you highlight sections of markdown documents and send them to Claude Code for revisions. The agent responds with targeted edits in the editor, and you can track which feedback each revision addresses.
cc-session-utils: TUI Dashboard for Managing Claude Code Sessions and Costs
A developer built cc-session-utils, a terminal UI tool for managing Claude Code session files, tracking costs by model, cleaning orphaned sessions, and migrating data between projects. It requires Python 3.11+ and is built with Textual.
RepoLens: Interactive Local Codebase Packer and Token Optimizer (TUI/CLI) in Go
RepoLens is a zero-dependency Go tool that packs repos into LLM context with a TUI file explorer, live token counter, comment stripping, secret scanner, and token-based file splitting.
Microsoft BitNet: 1-bit LLM inference framework for CPU and GPU
Microsoft released BitNet, an inference framework for 1-bit LLMs that achieves 1.37x to 6.17x speedups on CPUs and reduces energy consumption by 55.4% to 82.2%. It can run a 100B parameter model on a single CPU at 5-7 tokens per second.