ai-agents-interoperability
This project provides a framework-agnostic approach to achieve interoperability of agentic AI solutions. By implementing search tools using Tavily and Google SERP APIs, users can learn how different AI agents can collaborate. This facilitates easy data exchange and integration of functionalities across different platforms.
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ActiveI am a Software Engineer, Inventor, Mentor and an Open Source Contributor. I have over 6 years of professional experience in IT Industry.
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This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.