freddy

What is freddy?

freddy is a personal health MCP (Model Context Protocol) server that connects your wearables, CGMs, power meters, and gym apps directly into AI tools like Claude and ChatGPT. Instead of staring at dashboards, you ask natural language questions about your sleep, recovery, HRV, glucose, and training load—and get data-backed answers. It works with any MCP client, providing a single private endpoint that pulls metrics from over 19 sources and 100+ metrics.

Application scenarios

Sleep analysis
Ask "Why did I sleep like garbage last night?" and get HRV, resting HR, and wake event details.
Training load monitoring
Query "Am I overtraining?" to see HRV drift, weekly training load changes, and fatigue accumulation.
Glucose tracking
Ask "Why did my glucose spike?" with real-time data from Dexcom.
Recovery assessment
Get trend analysis on HRV baseline shifts and readiness scores across multiple wearables.
Cross-device health summaries
Combine data from Oura, WHOOP, Garmin, and Wahoo into one conversation.
Performance coaching
Use with Claude or ChatGPT for personalized training adjustments based on real numbers.

Core Features

MCP server integration
Plugs directly into Claude, ChatGPT, OpenClaw, and any MCP-compatible AI agent.
Multi-source data aggregation
Connects wearables, CGMs, power meters, and gym apps like Oura, WHOOP, Polar, Garmin, Dexcom, Wahoo, and Hevy.
Natural language queries
Ask questions like "Why is my HRV tanking this week?" and get grounded answers from your real metrics.
100+ metrics support
Covers HRV, glucose, power output, sleep stages, lifts, and more.
Private endpoint
One private MCP URL for Claude, ChatGPT, Claude Code, and any MCP client.
Read-only, revocable access
OAuth connections are encrypted and can be revoked at any time.
Trend analysis
Detects patterns like HRV baseline drift, sleep fragmentation increases, and fatigue accumulation.
Quick setup
Sign up, OAuth a source, paste your URL—takes about 90 seconds.

Target users

Athletes, coaches, and health-conscious individuals who already collect data from multiple wearables (Oura, WHOOP, Garmin, Polar) and want AI-driven insights without juggling separate apps. Also suitable for developers building custom health agents that need real-time metric access.

How to use freddy?

Connect your sources: OAuth into Oura, WHOOP, Polar, Garmin, Dexcom, Wahoo, Hevy, or other supported devices (read-only, revocable, encrypted).
Get your MCP URL: A private endpoint is generated for you.
Paste the URL into Claude, ChatGPT, or any MCP-compatible client.
Ask your AI anything: Type natural language queries like "Why did my glucose spike?" or "Am I overtraining?"—the AI pulls real-time data from freddy to answer.

Pricing and free trial

Free to start—no card required. The site states "Free to start" and "no card required," with setup in minutes.

Effect review

freddy solves a real pain point: drowning in scores from multiple apps without getting actionable answers. The ability to ask a single question and get cross-device trend analysis (like HRV drift linked to training load) is genuinely useful for serious athletes. Setup is frictionless at 90 seconds, and the MCP integration means you don't need a new interface—just your existing AI tools. While the product is clearly early-stage, the demo query shows it can surface meaningful patterns that individual app dashboards miss. For anyone tired of toggling between Oura, WHOOP, and Garmin to piece together their health story, freddy offers a smarter conversation-based alternative.

Frequently Asked Questions

What is Freddy by Freddy Coach?

Freddy is an AI tool that connects wearables and fitness apps like Polar, Oura, Strava, and WHOOP via MCP, allowing users to ask natural language questions about sleep, recovery, HRV, and workouts.

How does Freddy connect to my devices?

Freddy uses the Model Context Protocol (MCP) to integrate with wearables and fitness apps, syncing data directly for AI analysis.

What kind of data can I ask about?

You can ask about sleep, recovery, heart rate variability (HRV), workout performance, and other metrics tracked by your connected devices.

Which apps and devices does Freddy support?

Freddy supports Polar, Oura, Strava, WHOOP, and more through MCP integration.

Can I use natural language to get insights?

Yes, you can ask questions in plain English, like 'How was my sleep last night?' or 'What's my recovery score?' and get AI-generated answers.

Is my data secure with Freddy?

Freddy prioritizes data security by using encrypted connections and following privacy standards for wearable data handling.