The Model Context Protocol (MCP) is an open standard that lets models like Anthropic’s Claude and developer tools like Claude Code call out to external tools, data sources and prompts in a safe, standard way. This guide will walk you through building your own MCP server from scratch, enabling Claude Code to access custom features […]
Since Anthropic’s public introduction of the Model Context Protocol (MCP) on November 25, 2024, MCP has moved quickly from concept to practical ecosystem: an open specification and multiple reference servers are available, community implementations (memory servers, filesystem access, web fetchers) are on GitHub and NPM, and MCP is already supported in clients such as Claude […]
The recent surge in AI-driven automation has ushered in the need for more dynamic and context-aware workflows. n8n, an open-source workflow automation tool, has emerged as a powerful platform for orchestrating complex processes without extensive coding expertise. Meanwhile, the Model Context Protocol (MCP) standardizes the way AI agents interact with external services, enabling them to […]
As artificial intelligence (AI) continues to evolve, the need for standardized communication protocols becomes increasingly vital. Two significant developments in this area are Google’s Agent-to-Agent (A2A) protocol and Anthropic’s Model Context Protocol (MCP). While both aim to enhance AI interoperability, they address different aspects of AI integration. This article delves into the functionalities, differences, and […]
On April 9, 2025, Google introduced the Agent2Agent (A2A) protocol, marking a significant advancement in artificial intelligence interoperability. Designed to facilitate seamless communication between AI agents across diverse platforms and frameworks, A2A aims to standardize agentic interactions, fostering a more cohesive and efficient AI ecosystem. This initiative positions Google at the forefront of efforts to […]
