Freddy MCP Server: Give Your OpenClaw Agent Read Access to Personal Health Data

Freddy is a personal health data server that exposes your health and performance data as an MCP server. It just went live as an iOS and Android app, meaning your OpenClaw agents can now pull real sleep, recovery, and training load data instead of relying on generic advice.
What It Connects
- Apple Health or Health Connect (from phone)
- Oura, Polar, WHOOP, Garmin, Withings, Suunto
- Intervals.icu, Hevy
You connect your sources once, and the agent gets access to all of it inside whatever workflow you're running.
Auth for Headless Agents
The recommended auth flow for headless agents is the device flow. This gives the agent its own scoped access without you having to paste a URL around.
Weekend Project Idea
Build a morning agent that looks at last night's sleep and recent training load, then writes you a two-line note on whether to push or back off today. It's a small task but reads real numbers instead of guessing.
You can find Freddy at https://freddy.coach/.
Privacy
Data is encrypted, not sold, and the developer is not looking to profit off your stats. If you don't trust third-party solutions, just don't use it.
📖 Read the full source: r/openclaw
👀 See Also

Nakkas MCP Server Generates Animated SVGs from AI Descriptions
Nakkas is an MCP server where AI constructs complete animated SVG configurations from descriptions, rendering clean animated SVGs with shapes, gradients, animations, and filters. It supports parametric curves, 15 filter presets, CSS @keyframes and SMIL animations, and works anywhere SVG renders.

LLM Architecture Gallery: Visual Reference for Model Designs
Sebastian Raschka's LLM Architecture Gallery collects architecture figures and fact sheets from The Big LLM Architecture Comparison and A Dream of Spring for Open-Weight LLMs, with detailed specs for models like Llama 3 8B, DeepSeek V3, and Gemma 3 27B.

hiresTI: Native Linux TIDAL Player with OpenClaw/MCP Support
hiresTI is a native Linux desktop client for TIDAL focused on stable playback, high-quality audio output, a GTK4/Libadwaita UI, and OpenClaw integration via MCP for remote control. The app combines a Python UI layer with a Rust audio core.

PhAIL Benchmark Tests VLA Models on Real Warehouse Robot Tasks
PhAIL is a real-robot benchmark that tests four vision-language-action models on bin-to-bin order picking using a Franka FR3 robot. The best model achieved 64 units per hour, compared to 330 UPH for human teleoperation and 1,300+ UPH for human manual work.