Async-IO/pierre_mcp_server
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Pierre Fitness API is an open-source multi-protocol server that provides secure access to fitness data from multiple providers using the Model Context Protocol (MCP), A2A Protocol, and REST APIs.
Pierre Fitness API is designed to facilitate the integration of fitness data from various providers such as Strava and Fitbit into AI applications and assistants. It leverages the Model Context Protocol (MCP) and A2A Protocol to enable seamless communication between AI agents and fitness data sources. The API supports comprehensive API key management, tiered rate limiting, OAuth integration, and real-time analytics, making it suitable for both personal and enterprise use. With its robust architecture, Pierre Fitness API can be deployed in single-tenant or multi-tenant modes, offering flexibility for different deployment scenarios. The server is built to be cloud-ready and extensible, allowing developers to integrate additional features and data sources as needed. By providing intelligent analysis with location, weather, and performance context, Pierre Fitness API enhances the capabilities of AI assistants like Claude and ChatGPT, enabling them to deliver more personalized and insightful fitness recommendations.
Features
- Multi-Protocol Support: Integrates with MCP, A2A, and REST APIs for versatile data access.
- Security: Implements OAuth2, JWT Authentication, and encrypted storage for secure data handling.
- Intelligent Analysis: Offers activity analysis, location detection, and weather integration for enhanced insights.
- Flexible Deployment: Supports single-tenant and multi-tenant modes for personal and cloud deployments.
- Comprehensive API Management: Includes API key management, rate limiting, and real-time analytics.
Tools
get_activities
Fetches recent activities from connected fitness providers.
analyze_performance
Provides performance analysis based on activity data.