Enables AI models to seamlessly integrate with external tools and data sources via the Model Context Protocol, extending functionality without modifying the core model.
Empowers AI assistants with real-world capabilities including note management, Gmail integration, Google Calendar and Tasks management, and Git repository operations through the Model Context Protocol.
A starter template for building Model Context Protocol servers that can integrate AI assistants with custom tools, resource providers, and prompt templates.
A hands-on demonstration project that teaches the Model Context Protocol (MCP) through Python code, allowing users to understand how AI models interact with their context through a provider-agent architecture.
A Model Context Protocol implementation with a modular architecture that exposes capabilities through specialized agents, enabling seamless integration with Claude Desktop and web applications.