Are you keeping an eye on your protocols? If not, you may have missed the importance of the model context protocol (MCP), a tool that assists large language models to integrate and communicate with external data sources. As Alex Salazar, co-founder and CEO of agentic AI firm Arcade.dev, told IT Brew, the speed with which AI has taken over the tech industry—ChatGPT exploded onto the scene just three years ago, in November 2022—has led to a proliferation of tooling-like protocols, many of which never see adoption. Competitive balance. An open-source framework developed by software company Anthropic, MCP quickly became one of the dominant protocols in a field where companies like IBM and Google are also major players. Google’s agent-to-agent (A2A) and IBM’s agent communication protocol (ACP) have seen less adoption, though, as research firm Everest Group found in June, that’s not set in stone, given how A2A and ACP are picking up steam: “Enterprises should align protocol use with their architecture—centralized (MCP), collaborative (A2A), or local-first (ACP).” To Salazar, the interconnectedness protocol war is largely over. Once MCP was adopted by Anysphere’s popular AI-coding platform Cursor, developer interest exploded and MCP was propelled into the mainstream. Play it again MCP.—EH |