Agent♥︎Age
Catalog

Wellness Project

OfficialLive

by turnnoblindeye · Python

Connect your health, fitness, nutrition, sleep, and wearable data to your AI assistant.

ai.wellnessproject/wellness-project MCP

This MCP server, “Wellness Project MCP,” connects health, fitness, nutrition, sleep, and wearable data to an AI assistant. It is positioned for integration with multiple health and wearable data sources, aligning with a quantified-self workflow across platforms and assistants.

🛠️ Key Features

  • Health and fitness data connectivity
  • Nutrition tracking
  • Sleep data integration
  • Wearable data support
  • Uses MCP, including a “claude-mcp” topic presence

🚀 Use Cases

  • Centralize personal health metrics for AI assistant queries
  • Combine nutrition, sleep, and wearable signals into one dataset
  • Support fitness-tracker style monitoring using connected sources

⚡ Developer Benefits

  • Built around MCP (“mcp-server” and “mcp” topics)
  • Compatibility themes include Anthropic tools (“anthropic,” “claude,” “claude-mcp”) and “gemini-cli-extension”
  • Health data interoperability topics: Apple Health, Health Connect, HealthKit, and Fitbit
  • Broad topic coverage for wearables and quantified-self pipelines

⚠️ Limitations

  • Tool count and specific MCP tools/endpoints are not provided in the available source data.

Topics

aianthropicapple-healthchatgptclaudeclaude-mcpfitbitfitnessfitness-trackerhealthhealth-connecthealth-datahealthkitmcpmcp-servernutrition-trackingouraquantified-selfwearablesgemini-cli-extension