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

HostedShell: A Web-Based Deployment Solution for OpenClaw Agents
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Pu.sh: 400-Line Shell Script Coding-Agent Harness from HN
Pu.sh is a portable coding-agent harness in 400 lines of shell (sh, curl, awk), supporting Anthropic + OpenAI, 7 tools, REPL, checkpoint/resume, and pipe mode — with 90 no-API tests.

Prime Agent: A Self-Improving RLM Coding Harness with Persistent REPL and Agent CRUD
Prime Agent is an open-source coding harness built on a persistent IPython kernel and a Recursive Language Model, letting agents manage their own context and sub-agents.

cq: A Local-First Knowledge Sharing System for AI Coding Agents
Mozilla.ai's cq is an open-source tool that lets AI coding agents share 'knowledge units' about common gotchas via a local SQLite store, with optional team sharing through a Docker API. It installs as a Claude Code plugin or OpenCode MCP server.