Provides a robust implementation of the Model Context Protocol enabling seamless integration, management, and communication of AI models within multi-agent systems for enhanced development and scalability.

Provides Model Context Protocol integration for managing Azure DevOps work items, pull requests, and wiki pages, enabling seamless AI-assisted project collaboration and code review automation.

Enables natural language interaction with Azure services via Model Context Protocol, offering resource, subscription, and tenant management with seamless authentication and robust error handling for efficient cloud administration.

Provides seamless access to Strava data and functionalities via Model Context Protocol, enabling retrieval and management of activities, stats, segments, routes, and detailed performance streams for AI-driven analysis and integration.

Provides seamless integration with Feishu APIs via Model Context Protocol, enabling AI models to interact with Feishu services for document management, messaging, chat operations, and multidimensional spreadsheet access through modular, type-safe, and extensible REST and STDIO interfaces.