Agentic AI systems have the potential to work together, but not yet at scale. This episode breaks down two emerging standards — Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.

Discover how n8n’s AI-powered Model Context Protocol (MCP) simplifies workflow automation, reduces errors, and unlocks new ...

You might use one AI tool to design social media content, another to manage your customer database and a third to interact ...

The Linux Foundation announced at the Open Source Summit in Denver that it will now host the Agent2Agent (A2A) protocol.

Learn how MCP’s standardized framework simplifies AI tool collaboration, eliminates custom integrations, and boosts ...

AI agents have mastered trivia but choke on multisig calls. Anthropic’s Model Context Protocol (MCP) changes that by offering ...

AI agents have access to CRMs, ad accounts and ERPs, and they’re capable not just of advising but of launching processes or ...

The Model Context Protocol (MCP)—a rising open standard designed to help AI agents interact seamlessly with tools, data and interfaces—just hit a significant milestone.

Anthropic’s Model Context Protocol (MCP) is one of the first attempts to fill this gap. It proposes a clean, stateless protocol for how large language models (LLMs) ...

Model Context Protocol (MCP), the company said in its announcement, lets developers build secure two-way connections between AI-powered tools and the data sources they require to do their jobs ...