Description
Freddy is a personal MCP server designed to integrate your health and performance data with AI platforms such as ChatGPT, Claude, and other MCP-speaking clients. By connecting devices like Polar, Oura, WHOOP, Garmin, and more, Freddy allows users to query their health metrics in natural language, providing insights into sleep, recovery, HRV, workouts, and more.
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Freddy is built for athletes, biohackers, and those focused on longevity and healthspan, offering the ability to ask complex questions across logged sessions and cross-source experiments. It eliminates the need to navigate multiple dashboards by providing a single conversational interface.
The platform offers a freemium pricing model, with a free tier allowing one connected source and seven days of history, and a Pro tier at $49 per year for unlimited sources and full history. Freddy ensures privacy and security with read-only, revocable connections, encryption, and no data training or selling.
Users can connect their health data sources via OAuth, and Freddy integrates seamlessly with AI tools they already use, such as ChatGPT and Claude. The platform also offers a personal API for developers to access their health data programmatically.
Freddy is designed to be portable and private, syncing health data from mobile devices and wearables without requiring new apps or logins. It supports a wide range of devices and apps, with new connectors added regularly based on user requests.
- CategoryAI Fitness & Workout Apps
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsChatGPT, Claude
freddy's Core Features
Connects health data to AI platforms
Supports wearables and health apps
Natural language querying
Freemium pricing model
Read-only, revocable connections
Personal API access
Mobile and wearable integration
Privacy-focused design
How to use freddy?
Connect: OAuth into supported devices
Integrate: Add to AI tools like ChatGPT
Query: Ask health-related questions
Manage: Revoke connections as needed
freddy's Use Cases
- Athlete Training
- Biohacking Experiments
- Longevity Tracking
- Stress Analysis
- Sleep Environment
